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Named Entity Recognition and Aspect based Sentiment Analysis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 46 |
| Year of Publication: 2019 |
| Authors: Sangeeta Oswal, Ravikumar Soni, Omkar Narvekar, Abhijit Pradha |
10.5120/ijca2019919367
|
Sangeeta Oswal, Ravikumar Soni, Omkar Narvekar, Abhijit Pradha . Named Entity Recognition and Aspect based Sentiment Analysis. International Journal of Computer Applications. 178, 46 ( Sep 2019), 18-23. DOI=10.5120/ijca2019919367
Abstract
Twitter is a microblogging website where people can share their feelings quickly and spontaneously by sending a tweets limited by 280 characters. You can directly address a tweet to someone by adding the target sign “@” or participate to a topic by adding an hashtag “#” to your tweet. Here specific hashtag (#) based tweets are downloaded using tweepy and they are cleansed for removal of irrelevant data then Entity Recognition is performed using the NER Algorithm which specifies different entities belonging to that tweet eg person, place, organization, etc. and finally sentiment analysis is performed where we analyze the general sentiment that can either be positive, negative or neutral at the entity level.
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