diff --git a/doc/widgets/images/SentimentAnalysis-stamped.png b/doc/widgets/images/SentimentAnalysis-stamped.png index a387dc780..60d32da1a 100644 Binary files a/doc/widgets/images/SentimentAnalysis-stamped.png and b/doc/widgets/images/SentimentAnalysis-stamped.png differ diff --git a/doc/widgets/sentimentanalysis.rst b/doc/widgets/sentimentanalysis.rst index 3a4803650..23c9d81c3 100644 --- a/doc/widgets/sentimentanalysis.rst +++ b/doc/widgets/sentimentanalysis.rst @@ -24,12 +24,12 @@ Signals Description ----------- -**Sentiment Analysis** predicts sentiment for each document in a corpus. It uses Liu Hu and Vader sentiment modules from `NLTK `_. Both of them are lexicon-based. +**Sentiment Analysis** predicts sentiment for each document in a corpus. It uses Liu Hu and Vader sentiment modules from `NLTK `_. Both of them are lexicon-based. For Liu Hu, you can choose English or Slovenian version. .. figure:: images/SentimentAnalysis-stamped.png 1. *Method*: - - *Liu Hu*: lexicon-based sentiment analysis + - *Liu Hu*: lexicon-based sentiment analysis (supports English and Slovenian) - *Vader*: lexicon- and rule-based sentiment analysis 2. Produce a report. 3. If *Auto commit is on*, sentiment-tagged corpus is communicated automatically. Alternatively press *Commit*. @@ -65,3 +65,7 @@ References ---------- Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014. + +Minqing Hu in Bing Liu (2004). Mining opinion features in customer reviews. In Proceedings of AAAI Conference on Artificial Intelligence, vol. 4, pp. 755–760. `Available online. `__ + +Klemen Kadunc, Marko Robnik-Šikonja (2016). Analiza mnenj s pomočjo strojnega učenja in slovenskega leksikona sentimenta. Conference on Language Technologies & Digital Humanities, Ljubljana (in Slovene). `Available online. `__