• Ankur Goswami
• Dr. K. H. Wandra

There are different model of the data representation which include number, words, sentence, ideas or communication; the talk going on between two or more individual in forum or social sites, in web forum or blogs. The collection of different data set from dissimilar domain is collected in large quantity which is very random and doesn’t make sense for the decision making for industry or individuals, this data are optimized in such a way for gathering the knowledge or information which is broadly understood by sentiment analysis, data mining or opining mining . Sentiment analysis has increased its reputation and importance in current research by researcher. Academician and industrialist are using the Sentiment analysis for classification or summarization of diversifies data to produce a diminutive summary. The primary motivation behind the research is to provide a novel semi-supervised k-mean genetic based approach for opinion summarization; like people using the web forum or blogs, in question answer community. We have focus on the machine learning classification technique with the combination of Genetic Based methods which move towards the final summarization

Sentiment Analysis, Opinion summarization, k-mean clustering, genetic algorithm, sentiment analysis, word embedding

"A Novel Semi-supervised k-mean Genetic Based Approach for Opinion Summarization in Question Answers Community", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.592-597, June 2019, Available :http://www.jetir.org/papers/JETIR1907545.pdf

"A Novel Semi-supervised k-mean Genetic Based Approach for Opinion Summarization in Question Answers Community", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp592-597, June 2019, Available at : http://www.jetir.org/papers/JETIR1907545.pdf