Description

Sentiment analysis is a rapidly emerging domain in the area of research in the field of Natural Language Processing (NLP). It has gained much attention in recent years. Sentiment classification is used to verify or analyze the comments given by the user to extract the opinion from it. Sentiment analysis is a machine learning approach in which machines classify and analyze the human’s sentiments, ratings, opinions etc. about the products which are expressed in the form of text, star rating, thumbs up and thumbs down. The instrumentation review data used in this process is online product reviews collected from the sample website that we have created. Words such as adjectives and adverbs are able to convey opposite sentiment with the help of negative prefixes. Negation phrase identification algorithm is used to find such words. The performance is evaluated through evaluation measures like Accuracy, precision, recall and F1-score.