enlp.understanding.sentiment.vader_sentiment_strength

enlp.understanding.sentiment.vader_sentiment_strength(textlist)

Compute sentiment strength of ENGLISH texts

Using the nltk implementation of the VADER approach devised by: 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.

Parameters

textlistlist

list of text strings, each of which are to be analysed

Returns

polarity_scorespandas.DataFrame

Dataframe of the polarity score - positive values are positive valence, negative value are negative valence. See cited paper for more details on scoring