Sentiment Analysis Tool using Cosine and Jaccard Implementation
Shraddha Deshpande, Jonika Rathi, Shanu Gandhi, Mrunmayee Shinde, Vaishali M. Deshmukh · International Journal of Computer Applications · 2015
With the evolution of web technology, huge chunk of data is available over the web for users.The users not only explore the resources present on web, but also provide feedback, thus generating additional useful information.Sentiment analysis also known as Opinion mining deals with automating the task of classifying a textual review expressed in natural language as either positive or negative.In general, supervised methods consist of two stages.Firstly is extraction of information followed by its classification.The proposed approach consists of two major algorithms jaccard and cosine to implement a tool that will carry out the process of extraction of sentiments from a textual review and rate it accordingly.In this paper, the shortcomings of the existing approach will be discussed, along with the future & directions for research.