Analysis of Machine Learning Techniques for Opinion Mining

With the onset of the exponential growth in the field of web resources and the emergence of micro-blogging websites such as Twitter in particular, which allows for the dissemination of user opinion into the social networks and the World Wide Web in general; many companies and organizations have identified these resources as a rich mine of marketing and capturing knowledge. Opinion mining, also called sentiment analysis is a process of detecting user opinion, in reference to any particular topic, problem or product. A topic can be anything like an event, news, product, movie, location etc. Finding an efficient machine learning technique for opinion mining is a challenging problem today, due to the sheer volume and uninterrupted influx of unsorted and unprocessed information available for analysis. This paper discusses about sentiment analysis, with reference to a specific product using twitter information with a brief overview of some of the machine learning techniques and a comparison between those techniques are comprised.