AN CONTEMPLATED APPROACH FOR SENTIMENTAL ANALYSIS WITH COMBINED TECHNIQUE IN SOCIAL APPLICATIONS
Ravleen Singh
Research Scholar, Department of Computer Science & Engineering, Madhav University, Abu Road, Tehsil - Pindwara Distt. Sirohi, Rajasthan, India. E-mail: ravleen1234@gmail.com
Dr. Ganpat joshi
Associate Professor, Department of Computer Science & Engineering, Madhav University, Abu Road, Tehsil - Pindwara Distt. Sirohi, Rajasthan, India. E-mail: shiv.joshi322@gmail.com
Dr. Tariq Hussain Sheikh
Lecturer, Department of Computer Science and Application. Govt. Degree College Poonch,
Jammu &Kashmir, India E-mail: tariqsheakh2000@gmail.com
Abstract
In Recent years, the Digital world dominating the human lives in all the circumstances of their day to day life. One of the most prominent technology backs the social networks is the Natural Language Processing. In this Morphological domain the Competent Sentimental analysis is of high claim in many applications’ platform for accurate and predictive classification. The research is concentrating to study of public opinion for product reviews to get the valuable information. The analysis of sentiment on social networks, such as Twitter or Facebook, has become a powerful means of learning about the users’ opinions and has a wide range of applications. Recently, it has been demonstrated that Machine learning models area promising solution to the challenges of NLP. This Paper understands the above mentioned emotions in software side as well as it is essential to identify with the producers and the director of business. The F1 score can be interpreted as a weighted average of the precision and recall, where an F1 score reaches its best value at 1 and worst score at 0
Keywords:
: sentiment analysis, Machine Learning, Opinion Mining, Sentiment classification, feature selection, NLP.Full Text:
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