i have a project in Natural language processing . This project involves the sentiment analysis of the statements or the provided reviews. The sentiment analysis is the process of analyzing the text and categorizing the sentiment of the text such as the positive comment or the negative comment. i need an algorithm ( a powerful one ) to identify 2 factors here . 1- the mood level of the user ( happiness / sadness ) in matrix presentation 2- identify the comment ( negative / positive ) in this section some intelligence needed considering misspellings and wrong grammar structure .
Hi there, I have done similar project as my Final year project to get the tweets from twitter and analyze them as negative or positive, happy or sad. We can discuss your project as well as it has some common things in it. Regards, Waqas