A SURVEY ON BUSINESS FACILITIES ANALYSIS
DOI:
https://doi.org/10.22159/ajpcr.2017.v10s1.19990Keywords:
Yelp, Business Analysis, Sentiment Classification, Sentiment Analysis, VADER Intensity, Prediction, Suggestion, Best FacilityAbstract
Yelp connects people to great local businesses in USA which maintains a site to search and find any business in USA. This helps user to compare the businesses based on the star ratings and reviews given by other users to identify the best company among the available according to their need. The data-set provided in Yelp challenge contains tip, review, users, check-in, and business details which is shortly called as TURBO set was used by the participants in various ways to find interesting patterns. This paper focuses various surveys made on pre-processing; sentiment analysis; sentiment classification techniques and various classification algorithms proposed that results better performance than the other existing algorithms. The survey papers have mostly applied the algorithms on yelp data-set and other papers have applied on different data's.
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