Comparative Study Of Cross Domain Models in Sentiment Mining
Sentiment mining is the application of text mining to infer the sentiment expressed in a piece of text about a chosen target. Sentiment mining or opinion mining refers to the application of natural language processing, computational linguistics, and text analytics to identify and extract subjective information in source materials. Generally speaking, it aims to determine the attitude of a speaker or a writer with respect to some topic or the overall tonality of a document. The authors are constantly being faced with the challenge of dealing with the ever-increasing amount of data being produced. The World Wide Web has facilitated the widespread availability of huge amounts of human created content. Viewed as a whole, it is a rich database of nearly all human ideas and endeavors.