StanfordNLP

StanfordNLP / SentimentAnalysis / 1.0.2

README.md

1. Introduction

Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. This algorithm takes an input string and assigns a sentiment rating in the range [0-4].

Input:

  • (Required): Document. (key="document")

Output:

  • Sentiment (between 0-4)

Credits:

For more information, please refer to http://nlp.stanford.edu/software/corenlp.shtml or Manning, Christopher D., Surdeanu, Mihai, Bauer, John, Finkel, Jenny, Bethard, Steven J., and McClosky, David. 2014. The Stanford CoreNLP Natural Language Processing Toolkit. In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 55-60.