• Arunesh Pratap Singh
• Manisha Patel
• Vinod Kumar Yadav
• Dr. Aditya Vidyarthi

As the text content are increasing day by day with the growing digital world. Researchers are working in this field from last few decades. In this paper a genetic algorithm is proposed on identify the text sentiment in efficient manner. Proposed sentiment identification approach finds the patterns in the tweets present on twitter website. Here frequent pattern are filter out where each pattern is arranged in weighted graph on the basis of relation with other pattern. On the basis of weighted graph pattern features are collect which find the fitness value of various generated population. Genetic algorithm helps in identify the pattern sentiment without any guidance or training of the dataset. Outputs of the work provide a dictionary which will help in classify the tweets or comment done by social users of any network. Experiment is done on real dataset. Identify sentiment by genetic approach is compare with previous approach and results shows that identify sentiment by genetic approach is better as compare to Word Emotion Computation on different evaluation parameters. _______________________

Text Categorization, Clustering,Genetic Algorithum, Feature Extraction,

"A Genetic Approach to Identify Sentiment of User Twitter Frequent Patterns", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.190-198, June-2018, Available :http://www.jetir.org/papers/JETIR1806725.pdf

"A Genetic Approach to Identify Sentiment of User Twitter Frequent Patterns", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp190-198, June-2018, Available at : http://www.jetir.org/papers/JETIR1806725.pdf