Overview of Tools and APIs for Sentiment Analysis

To the emergent accessibility of opinionated texts like tweet, blog posts and product review websites, a Sentiment Analysis has sprung up for opinion & text analysis in the past decade. Social networking websites let users build social connections with family, friends, and coworkers. Users can also build profiles for storing and sharing various types of content with others, including photos, videos, and messages. To encourage this interaction and provide richer content, social-networking sites expose their networks to Web services in the form of online application programming interfaces. These APIs allow third-party developers to interface with the social-networking site, access information, and build social applications that aggregate, process, and create content based on users’ interests. The paper gives an overview of the different API, tools used for different social media. Starting from this overview the paper provides a classification of (i) approaches with respect to different dataset and (ii) different techniques used for sentiment analysis.