Paper Info
Title
Analysis of Methods and Tools for Relevant Words Recognition in Microblogs
Abstract
Extracting accurate information from the huge volumes of data, much of them unstructured, generated in social media is currently a big challenge. However, it has several relevant applications, some of them latent yet. One of the first and most decisive steps in this information extraction process is the recognition of relevant words in texts. This article presents a comparative study of methods and tools for recognizing relevant words on microblog posts. Among several analyzed tools, five have been selected for experments with 100,000 tweets. These experiments showed high variability of the results generated by different tools, suggesting a need for improvements
Year
DOI
Venue
2016
abs/10.5555/3021955.3022014
SBSI
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Danielly Sorato101.35
Fábio Bif Goularte200.34
Silvia Nassar386.52
Renato Fileto415120.64