Open AccessSentiment Analysis using Rapid Miner
Author(s) -
S Theivasigamani,
C Nalani
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i3332.0789s319
Subject(s) - sentiment analysis , computer science , categorization , sentence , natural language processing , text mining , data mining , text categorization , product (mathematics) , artificial intelligence , task (project management) , information retrieval , engineering , geometry , mathematics , systems engineering
Now a day the data grows day by day so data mining replaced by big data. Under data mining, Text mining is one of the processes of deriving structured or quality information or data from text document. It helps to business for finding valuable knowledge. Sentiment analysis is one of the applications in text mining. In sentiment analysis, determine the emotional tone under the text. It is the major task of natural language processing. The objective of this paper to categorize the document in sentence level and review level, and classification techniques applied on the dataset (electronic product data). There is an ensemble number of classification techniques applied on the dataset. Then compare each techniques, based on various parameters and find out which one is best. According to that give better suggestions to the company for improving the product.