• Mrs.Kangane S.V.
• Mr. Kumbharde M.V

Due to advancement in web people are leads to instinctively sharing their opinion and sentiments online, which provides opportunities to companies as well as to organizations for understanding opinions of people regarding their products or services and can serve to improve their products or market strategy more efficiently. So in this paper we proposed a novel semantic-based structure for fine-grained sentiment analysis. So to analyze the result, more focus on a practical implementation of the framework for expressing sentiments within customer reviews that aims to provide accuracy of sentiment classification. This structure deals with mixed-opinion reviews and then handles contextual information via a sentiment lexicon by containing multi-word expressions. The semantic-based proposed system checks the reliability and correctness of the system depending on different domains using mobiles, car and hotel services as a dataset to be used. A sizeable performance improvement is noted by comparing the proposed methodology results.

Opinion Mining, Semantic based structure, Sentiment Analysis, Sentiment Classification, Sentiment lexicon

"Implementation of Framework Efficiently for expressing Sentiment based System to improve Products and Market Strategy ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.561-566, December-2018, Available :http://www.jetir.org/papers/JETIR1812A78.pdf

"Implementation of Framework Efficiently for expressing Sentiment based System to improve Products and Market Strategy ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp561-566, December-2018, Available at : http://www.jetir.org/papers/JETIR1812A78.pdf