Introduction

Sentiment analysis, broadly speaking, is the set of techniques that allows detection of emotional content in text. This has a variety of applications: it is commonly used by trading algorithms to process news articles, as well as by corporations to better respond to consumer service needs. Similar techniques can also be applied to other text analysis problems, like spam filtering.

The source code described in this paper is available at https://github.com/cathywu/Sentiment-Analysis.