Mining High Dimensional Web Content With Sentimental Analysis: A Proactive Approach

Abstract

Sentiment analysis or opinion mining has a humongous scope in the field of digital marketing. Many research ideas have evolved in this field of engineering over the past decades. The major task of proposing sentiment analysis in mining is to systematize the detection of opinions, attitudes and the feelings expressed. These approaches however have some setback in certain scenarios. Rather than directly expressing the feelings sometimes a person might use diverse strategies to express emotions which might be positive, negative or neutral. One word which was viewed positive in a scenario might be regarded as negative in another situation. Such circumstances would interrogate the reliability of sentimental analysis. Our researches aim at alleviating the challenges in sentimental analysis and deliver a tool that is effective and reliable.