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20162021
most citedA Case Study of Spanish Text Transformations for Twitter Sentiment Analysis

66 citations · 66 across the 2 of their papers we have counts for

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cs.CL2021★ 66 cited

A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis

Eric S. Tellez, Sabino Miranda-Jiménez, Mario Graff +3

Sentiment analysis is a text mining task that determines the polarity of a given text, i.e., its positiveness or negativeness. Recently, it has received a lot of attention given th…

cs.CL2020

A Python Library for Exploratory Data Analysis on Twitter Data based on Tokens and Aggregated Origin-Destination Information

Mario Graff, Daniela Moctezuma, Sabino Miranda-Jiménez +1

Twitter is perhaps the social media more amenable for research. It requires only a few steps to obtain information, and there are plenty of libraries that can help in this regard.…

cs.CL2018

EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis

Mario Graff, Sabino Miranda-Jiménez, Eric S. Tellez +1

Sentiment analysis (SA) is a task related to understanding people's feelings in written text; the starting point would be to identify the polarity level (positive, neutral or negat…

cs.CL2017

An Automated Text Categorization Framework based on Hyperparameter Optimization

Eric S. Tellez, Daniela Moctezuma, Sabino Miranda-Jímenez +1

A great variety of text tasks such as topic or spam identification, user profiling, and sentiment analysis can be posed as a supervised learning problem and tackle using a text cla…

cs.CL2016

A Simple Approach to Multilingual Polarity Classification in Twitter

Eric S. Tellez, Sabino Miranda Jiménez, Mario Graff +3

Recently, sentiment analysis has received a lot of attention due to the interest in mining opinions of social media users. Sentiment analysis consists in determining the polarity o…