• RAS KAS SREEVANI
• T. RAJESH

Utilizing on the web buyer audits as electronic informal exchange to help buy basic leadership has turned out to be progressively famous. The Web gives a broad wellspring of shopper audits, yet one can barely read all surveys to acquire a reasonable assessment of an item or administration. A content preparing system that can outline audits would along these lines be alluring. A subtask to be performed by such a system is locate the general angle classifications tended to in audit sentences, for which this paper presents two strategies. As opposed to most existing methodologies, the principal technique introduced is an unsupervised strategy that applies affiliation govern mining on co-event recurrence information acquired from a corpus to discover these perspective classifications. While not keeping pace with cutting edge directed strategies, the proposed unsupervised technique performs superior to a few straightforward baselines have increased.

Aspect Category Detection, Consumer Reviews, Co-Occurrence Data, Sentiment Analysis, Spreading Activation

"Detection for Sentiment Analysis with Co-Occurrence Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.37-49, November-2018, Available :http://www.jetir.org/papers/JETIR1811905.pdf

"Detection for Sentiment Analysis with Co-Occurrence Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp37-49, November-2018, Available at : http://www.jetir.org/papers/JETIR1811905.pdf