Open AccessSentimental Analysis on Twitter using Pig and Hive
Author(s) -
Ajit Noonia,
Vikas Verma,
Rajiv Khandelwal,
Kushagra Gautam
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7051.019320
Subject(s) - big data , computer science , process (computing) , data science , sentiment analysis , set (abstract data type) , data set , perspective (graphical) , affinity analysis , data mining , artificial intelligence , association rule learning , programming language , operating system
Data science is the analytic process to explore new prediction and pattern when to process the collected data. Data analysis is done using large sets of databases and due to them we can easily form patterns and then they could be recognized. This will helpful for prediction of new challenges and circumstances. From the perspective of statistics data analysis of large observational databases has very challenges which made it a research area in abroad as well as in India. Different tools are available in market to process and analyze the large set of data for prediction of future trends and due to which knowledgeable decision should be created. Bigdata and hadoop are one of them. In this paper we have collected 5000 above tweets and then we have done pre-processing over it and then done sentimental analysis so as to get negative and positive tweets and then done prediction over it so as to get the people’s sentiments over a particular person.