Search Results for author:
Found 16 papers, 6 papers with code
Analysis of Systems' Performance in Natural Language Processing Competitions
Collaborative competitions have gained popularity in the scientific and technological fields.
Regionalized models for Spanish language variations based on Twitter
Spanish is one of the most spoken languages in the globe, but not necessarily Spanish is written and spoken in the same way in different countries.
A Case Study of Spanish Text Transformations for Twitter Sentiment Analysis
Sentiment analysis is a text mining task that determines the polarity of a given text, i. e., its positiveness or negativeness.
Infotec + CentroGEO at SemEval-2020 Task 8: Deep Learning and Text Categorization approach for Memes classification
We obtained results analyzing the text and images separately, and also in combination.
INGEOTEC at SemEval-2020 Task 12: Multilingual Classification of Offensive Text
This paper describes our participation in OffensEval challenges for English, Arabic, Danish, Turkish, and Greek languages.
A Python Library for Exploratory Data Analysis on Twitter Data based on Tokens and Aggregated Origin-Destination Information
Twitter is perhaps the social media more amenable for research.
Selection Heuristics on Semantic Genetic Programming for Classification Problems
The result indicated that the combination of parent selection based on agreement and random selection to replace an individual in the population produces statistically better results than the classical selection and state-of-the-art schemes, and it is competitive with state-of-the-art classifiers.
Improving classification performance by feature space transformations and model selection
Improving the performance of classifiers is the realm of feature mapping, prototype selection, and kernel function transformations; these techniques aim for reducing the complexity, and also, improving the accuracy of models.
INGEOTEC at SemEval-2019 Task 5 and Task 6: A Genetic Programming Approach for Text Classification
This paper describes our participation in HatEval and OffensEval challenges for English and Spanish languages.
EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis
Furthermore, we performed an analysis of EvoMSA's components to measure their contribution to the performance; the idea is to facilitate a practitioner or newcomer to implement a competitive SA classifier.
INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis
This paper describes our participation in Affective Tweets task for emotional intensity and sentiment intensity subtasks for English, Spanish, and Arabic languages.
INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis
This paper describes the system used in SemEval-2017 Task 4 (Subtask A): Message Polarity Classification for both English and Arabic languages.
A scalable solution to the nearest neighbor search problem through local-search methods on neighbor graphs
Near neighbor search (NNS) is a powerful abstraction for data access; however, data indexing is troublesome even for approximate indexes.
An Automated Text Categorization Framework based on Hyperparameter Optimization
The compared datasets include several problems like topic and polarity classification, spam detection, user profiling and authorship attribution.
A Simple Approach to Multilingual Polarity Classification in Twitter
Recently, sentiment analysis has received a lot of attention due to the interest in mining opinions of social media users.
Term-Weighting Learning via Genetic Programming for Text Classification
We propose in this article a genetic program that aims at learning effective TWSs that can improve the performance of current schemes in text classification.
