Paper Info
Title
Algorithm for Collecting and Sorting Data from Twitter through the Use of Dictionaries in Python.
Abstract
In this work we developed a tool for the classification of natural language in the social network Twitter: The main purpose is to divide in to twoclasses, the opinions that the users express about the political moment of the Mexican presidential elections in 2018. In this scenario, considering the information from the Tweets as corpus, these have been randomly downloaded from different users and with the tagging algorithm, it has been possible to identify the commentsin to two categories defined as praises and insults, which are directed towards the presidential candidates. The tool known as CLiPS from Python, has been used for such purpose with the inclusion of the tagging algorithm. Finally, the frequency of the terms is analyzed with descriptive statistics.
Year
DOI
Venue
2020
10.13053/CYS-24-2-3408
Computación y Sistemas
DocType
Volume
Issue
Journal
24
2
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
María Beatríz Bernábe Loranca114.42
Enrique Espinoza González Velázquez200.34
Carmen Cerón Garnica302.37