Structured application of Content Aware Support Vector Machines in Sentiment Analysis for Twitter Data

Abstract

One of the relatively new topic of potential research is the approach known as sentiment analysis in the area of micro-blogging. Albeit, prior research related works on the foregoing, the case differs for twitter. The impediment of applying the sentiment analysis in twitter is due to its limitation of only 140 characters in a single tweet. The Content Aware Support Vector Machines is a mobile application that yields satisfactory results. Today, most of the communication/dissemination of information happens using mobile applications. At times, the actual emotions with respect to the chat is not easily understood. Hence, this approach is expected to be very useful especially in understanding the emotion or sentiment in the chat.