hash_sentiment_linis_crowd_2016: Polarity Table of Social-Political Oriented Lexicon "LINIS...
In dmafanasyev/rulexicon: Russian Lexicons for Text Analysis

Description Usage Format Details License Source References

The polarity table from crowdsourcing lexicon "LINIS Crowd SENT", version 2016. Table contains \Sexpr{nrow(rulexicon::hash_sentiment_linis_crowd_2016)} words or phrases, and \Sexpr{nrow(rulexicon::hash_sentiment_linis_crowd_2016[rulexicon::hash_sentiment_linis_crowd_2016$score !=0,])} has non-neutral sentiment scores.

1	data(hash_sentiment_linis_crowd_2016)

A data table with \Sexpr{nrow(rulexicon::hash_sentiment_linis_crowd_2016)} rows and \Sexpr{ncol(rulexicon::hash_sentiment_linis_crowd_2016)} variables:

token: the textual token (word or phrase)
score: the sentiment score: from −2 (negative) to +2 (positive) with step 1

The lexicon is aimed at detecting sentiment in blogs and social media related to social and political issues. Words sentiment scores assessed by volunteers (at least three). Source file provides raw scores (from each volunteers) and were averaged and rounded to the nearest integer by maintainer of rulexicon package.

According to "LINIS Crowd SENT" project web-site (http://linis-crowd.org) the dictionary is published under Creative Commons "Attribution-NonCommercial-ShareAlike" 4.0 International (CC BY-NC-SA 4.0). Additional permissions can be accessed here: http://www.linis-crowd.org/contacts/.

http://linis-crowd.org/static/collection_(docs_words)_2016_all_labels.zip

Koltsova, O.Yu., Alexeeva, S.V., Kolcov S.N., 2016. An opinion word lexicon and a training dataset for Russian sentiment analysis of social media. Computational Linguistics and Intellectual Technologies: Proceedings of the International Conference "Dialogue 2016". URL: http://www.dialog-21.ru/media/3400/koltsovaoyuetal.pdf

dmafanasyev/rulexicon documentation built on Jan. 25, 2022, 4:18 p.m.