id,description,dataset,category,subcategory,region,delay,universe,type,dateCoverage,coverage,userCount,alphaCount,pyramidMultiplier,themes,dataset_id,dataset_name,category_id,category_name,subcategory_id,subcategory_name
estimated_next_shareholder_meeting_date,"Tentative or estimated date (as an integer date, e.g., YYYYMMDD) for the next shareholder annual meeting, provided with next-trading-day (D1) availability for the USA region","{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.6319,125,161,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
event_frequency_label,Integer count of StreetEvents mentions or hits for the company during the represented period or date,"{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.2625,13,16,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
next_earnings_call_date,"Next scheduled or confirmed earnings conference call date for the US region module, encoded as an integer date (typically YYYYMMDD); data available with D1 (next trading day) delay","{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.4176,32,43,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
next_earnings_estimate_date,"Estimated next earnings release date when the actual date is not yet confirmed (D1 module; next-day availability), stored as an integer date (e.g., YYYYMMDD)","{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.5964,75,99,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
next_ex_dividend_event_date,"The next confirmed ex-dividend date for the company in the USA module, delivered with next-day (D1) timeliness and encoded as an integer date","{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.3362,65,124,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
next_shareholder_meeting_date,"Confirmed next scheduled date (as an integer date, e.g., YYYYMMDD) for the upcoming shareholder annual meeting as of today, provided with next-trading-day (D1) availability for the USA region","{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.2696,24,26,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
nws21_tonexiguome1_tone_sc,(number of positive words - number of negative words) divided by (number of positive words + number of negative words),"{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.2938,4,4,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
nws21_xiguo_me1_event_freq,number of events,"{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.2938,5,5,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
nws21_xiguo_me1_neg_sc,number of negative words divided by number of all words,"{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.2938,4,6,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
nws21_xiguo_me1_pos_sc,number of positive words divided by number of all words,"{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.2938,2,2,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
nws21_xiguo_me1_qerf_gen,number of negative words,"{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.2938,3,3,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
nws21_xiguo_me1_qerf_sop,number of positive words,"{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.2938,3,3,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
previous_corporate_presentation_date,"Most recent past corporate presentation date before today (for a China-listed company), available on a next-trading-day delay, stored as an integer date (e.g., YYYYMMDD)","{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.2785,13,13,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
previous_earnings_call_date,"Most recent past earnings conference call date prior to today for the US region module, encoded as an integer date (typically YYYYMMDD); data available with D1 delay","{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.5211,73,123,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
previous_ex_dividend_event_date,"The most recent past ex-dividend date before today for the company in the USA module, encoded as an integer date","{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.547,87,110,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
previous_shareholder_meeting_date,"Most recent past date (as an integer date, e.g., YYYYMMDD) when the shareholder annual meeting last occurred before today, provided with next-trading-day (D1) availability for the USA region","{'id': 'news21', 'name': 'Macro Economic Event Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.4653,26,30,1.5,[],news21,Macro Economic Event Data,news,News,news-news,News
mws52_chars_in_presentation,Number of characters in the presentation section,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,18,22,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_chars_in_qa,Number of characters in the Q&A section,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,17,33,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_conference_call_participants,"Number of non-corporate participants (analysts, third parties) in the conference call","{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,12,38,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_corporate_participants,Number of representatives from the company (issuer) participating in the conference call,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,14,22,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_eventtype,"Type/category of the conference call event (e.g., earnings call, guidance update, etc.)","{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,12,30,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_expirationtime,Time when the event or record is considered expired or no longer current,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,14,30,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_lastuptime,Time when the record was last updated,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,9,17,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_paragraphs_in_presentation,Number of paragraphs in the presentation section of the conference call,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,13,31,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_pparagraphs_in_qa,Number of paragraphs in the Q&A section of the conference call,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,14,20,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_questions_in_presentation,Number of questions asked during the presentation section of the conference call,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,12,15,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_questions_in_qa,Number of questions asked in the Q&A section of the conference call,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,7,10,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_sentences_in_presentation,Number of sentences in the presentation section of the conference call,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,10,19,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_sentences_in_qa,Number of sentences in the Q&A section of the conference call,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,13,25,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_starttime,Time the conference call event started,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,11,16,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_talks_in_presentation,Number of talks (distinct speaker turns or interventions) in the presentation section of the conference call,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,18,36,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_talks_in_qa,Number of individual talks in the Q&A section of the conference call,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,10,13,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_words_in_presentation,Number of words in the presentation section of the conference call,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,10,19,1.5,[],news52,Conference call data,news,News,news-news,News
mws52_words_in_qa,Number of words in the Q&A section of the conference call,"{'id': 'news52', 'name': 'Conference call data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.291,18,39,1.5,[],news52,Conference call data,news,News,news-news,News
headline_mention_count,Total number of news items for the security/date in the dataset,"{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.3527,54,80,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
headline_mention_count_2,Number of news headlines for the given security and date,"{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.9759,94,200,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
headline_negative_mention_count,Count of negative words in headlines across all news for a security/date,"{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.3527,26,43,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
headline_negative_mention_count_2,Total count of negative words appearing in all news headlines for the day,"{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.9759,69,135,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
headline_negative_tone_score,"Average proportion of negative words in news headlines, calculated as negative words divided by total words, across all news for the security/date","{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.3527,30,46,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
headline_negative_tone_score_2,The average ratio of negative words to all words in all news headlines for the day,"{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.9759,55,84,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
headline_overall_tone_score,average tone score calculated as (positive word count - negative word count) divided by (positive word count + negative word count) for headlines of news stories,"{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.3527,31,43,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
headline_overall_tone_score_2,"average normalized headline tone score across all news, calculated as (positive words - negative words) divided by (positive words + negative words) per headline","{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.9759,57,98,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
headline_positive_mention_count,Count of positive words in headlines across all news for a security/date,"{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.3527,14,21,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
headline_positive_mention_count_2,Total count of positive words appearing in all news headlines for the day,"{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.9759,35,57,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
headline_positive_tone_score,"Average proportion of positive words in news headlines, calculated as positive words divided by total words, across all news for the security/date","{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.3527,18,32,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
headline_positive_tone_score_2,The average ratio of positive words to all words in all news headlines for the day,"{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.9759,34,45,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
news_mention_frequency_1,"Count of news stories per security and date in the EUR region for the real-time (D0) module, excluding stories containing the keyword ""insider""","{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.9755,45,96,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
news_mention_frequency_d0,The number of news events or articles detected for each security and date in the Asia region on a real-time (intraday) basis,"{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.9761,44,74,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
news_mention_frequency_d0_twn,"Count of news events per Taiwan-listed security on a given date, captured at real-time/intraday (D0) timing within the Asia module","{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.9761,27,45,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
news_mention_frequency_d0_twn_alt,Total number of news stories per security and date for Taiwan-listed companies in the Asia news frequency module at real-time/intraday (D0) delay,"{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.9757,46,57,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
news_mention_frequency_simple,"Count of news articles related to a security on a given date in China, excluding those containing ""insider"" keywords","{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.9755,43,79,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
news_sales_mention_count,"Daily count of news articles for European securities that mention sales-related keywords (e.g., sale, sales) or earnings, aggregated per security per date","{'id': 'news7', 'name': 'Real Time News Feed Data'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news', 'name': 'News'}",IND,1,TOP500,MATRIX,0.9507,0.3677,23,40,1.5,[],news7,Real Time News Feed Data,news,News,news-news,News
max_primary_sentiment_score_transfer,Daily maximum of variant-1 sentiment scores for the stock-day,"{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,51,66,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
max_secondary_sentiment_score_transfer,"Daily maximum of variant 2 sentiment across PR events; scale [-1, 1]","{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,27,37,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
max_sentiment_score_transfer,Daily maximum of base sentiment scores across PR events mapped to the stock,"{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6973,20,35,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
mean_primary_sentiment_score_transfer,Daily mean of sentiment1 scores across PR events (may be weighted by article importance),"{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,13,15,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
mean_secondary_sentiment_score_transfer,Daily mean of sentiment2 scores across PR events (may be weighted by article importance),"{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,9,12,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
mean_sentiment_score_transfer,Daily mean of base sentiment scores across PR events (often weighted by article importance),"{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,10,11,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
median_primary_sentiment_score_transfer,Daily median of sentiment1 scores across PR events,"{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,14,17,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
median_secondary_sentiment_score_transfer,"Median of the TRNA-style sentiment2 scores from all RavenPack press-release events linked to the stock on that day (USA region, D1 delay)","{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,10,11,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
median_sentiment_score_transfer,Daily median of event-level sentiment scores for the stock-day,"{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,10,11,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
min_primary_sentiment_score_transfer,"Daily minimum of sentiment1 scores across PR events mapped to the stock; range [-1, 1]","{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,12,18,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
min_secondary_sentiment_score_transfer,"Daily minimum of variant 2 sentiment across PR events; scale [-1, 1]","{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,18,21,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
min_sentiment_score_transfer,"Daily minimum of main sentiment across PR events; scale [-1, 1]","{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,9,10,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
news_item_count_transfer,"Total number of PR headlines mapped to the stock on that day (USA, D1)","{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,27,28,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
normalized_news_item_count_transfer_2,"Normalized daily news article count (unitless), scaled by 90-day rolling mean for cross-sectional comparability","{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,17,20,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
skew_primary_sentiment_score_transfer,The skewness of the primary transferred sentiment score distribution for the period.,"{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,11,14,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
skew_secondary_sentiment_score_transfer,"Skewness of the distribution of TRNA-style sentiment2 scores across all RavenPack press-release events linked to the stock on that day (USA region, D1 delay)","{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,11,18,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
skew_sentiment_score_transfer,Skewness of the distribution of event-level sentiment scores for the stock-day,"{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,18,49,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
sum_primary_sentiment_score_transfer,The sum of all primary transferred sentiment scores for the period.,"{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,24,28,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
sum_secondary_sentiment_score_transfer,Daily sum of variant-2 sentiment scores across all PR events for the stock-day,"{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6974,11,11,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment
sum_sentiment_score_transfer,"Sum of the main TRNA-style sentiment scores across all RavenPack press-release events linked to the stock on that day (USA region, D1 delay)","{'id': 'news84', 'name': 'Headline Sentiment Analysis using DNN'}","{'id': 'news', 'name': 'News'}","{'id': 'news-news-sentiment', 'name': 'News Sentiment'}",IND,1,TOP500,MATRIX,0.9507,0.6973,15,30,1.5,[],news84,Headline Sentiment Analysis using DNN,news,News,news-news-sentiment,News Sentiment