A Frequent Named Entities-Based Approach for Interpreting Reputation in Twitter

A Frequent Named Entities-Based Approach for Interpreting Reputation in Twitter

Abstract Twitter is a social network that provides a powerful source of data. The analysis of those data offers many challenges among those stands out the opportunity to find reputation of a product, a person or any other entity of interest. Several approaches for sentiment analysis have been propos...

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Bibliographic Details
Main Authors: Nacéra Bennacer Seghouani, Francesca Bugiotti, Moditha Hewasinghage, Suela Isaj, Gianluca Quercini
Format: Article
Language:English
Published: SpringerOpen 2018-06-01
Series:Data Science and Engineering
Subjects:
Reputation
Named Entities
Frequent itemsets
Sampling
Twitter
Opinion mining
Online Access:http://link.springer.com/article/10.1007/s41019-018-0066-4

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http://link.springer.com/article/10.1007/s41019-018-0066-4

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