Python sentiment analysis utilities
This is a library for sentiment analysis in dictionary framework. Two dictionaris are provided in the library, namely, Harvard IV-4 and Loughran and McDonald Financial Sentiment Dictionaries, which are sentiment dictionaries for general and financial sentiment analysis.
>>> import pysentiment as ps >>> hiv4 = ps.HIV4() >>> tokens = hiv4.tokenize(text) # text can be tokenized by other ways # however, dict in HIV4 is preprocessed # by the default tokenizer in the library >>> score = hiv4.get_score(tokens)
HIV4 is a subclass for pysentiment.base.BaseDict. BaseDict can be inherited by implmenting init_dict to initialize _posset and _negset for the dictionary to calculate ‘positive’ or ‘negative’ scores for terms.
Bug-fixes / features are always welcome.
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