Hewan Shrestha
@uni-saarland.de
Visual Computing
Saarland University
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Vision and Pattern Recognition, Global and Planetary Change, Artificial Intelligence
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Hewan Shrestha, Subash Chandra Bose Jaganathan, Chandramohan Dhasarathan, and Kannadhasan Suriyan
Springer Science and Business Media LLC
Hewan Shrestha, Swati Megha, Subham Chakraborty, Manuel Mazzara, and Iouri Kotorov
Springer Nature Switzerland
Chandramohan Dhasarathan and Hewan Shrestha
Springer Singapore
Hewan Shrestha, Chandramohan Dhasarathan, Shanmugam Munisamy, and Amudhavel Jayavel
Springer Science and Business Media LLC
Sentimental analysis is one of the most common applications of Natural Language Processing (NLP). Sentiment analysis, the term itself refers to identify the emotions and opinions of people through written text. It is concerned with information extraction from any text based on the polarity in social behavior whether it may be positive, negative or neutral. This paper presents a practical dynamic approach on to find the polarity of any sentence and analyse the opinion of the particular sentence. The proposed Sentimental Analysis of Hindi (SAH) script have adopted two different classifier Naïve Bayes Classifier and Decision Tree Classifier is used for the text extraction. The positive, neutral and negative result validation shows a comparative result of sentimental analysis.