There are 2 sub-tasks: sentiment analysis for Spanglish (Spanish-English) and for Hinglish (Hindi-English). The sentiment classes are Positive, negative, neutral. Hinglish dataset has 20k instances. Spanglish dataset has ~19k instances. Website: https://ritual-uh.github.io/sentimix2020
Sentiment analysis is currently a very dynamic field in Computational Linguistics. Research herein h...
Sentiment Analysis has become an in-creasingly important research topic. This paper describes our ap...
This paper describes our sentiment analysis systems which have been built for SemEval-2015 Task 10 S...
We present the development and evaluation of a semantic analysis task that lies at the intersection ...
Abstract. Sentiment Analysis in Twitter has been considered as a vital task for a decade from variou...
This paper describes the system that was sub-mitted to SemEval2015 Task 10: Sentiment Analysis in Tw...
In this paper, we describe the 2015 iteration of the SemEval shared task on Sentiment Analysis in Tw...
This report summarizes the objectives and evaluation of the SemEval 2015 task on the sentiment analy...
In this paper, we describe the 2015 iteration of the SemEval shared task on Sentiment Analy-sis in T...
This paper describes our contribution to the SemEval-2020 Task 9 on Sentiment Analysis for Code-mixe...
Sentiment analysis of Dravidian languages has received attention in recent years. However, most soci...
This paper describes our participation at SemEval-2014 sentiment analysis task, in both contextual a...
We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferri...
In this paper, we describe our system for the Sentiment Analysis of Twitter shared task in SemEval 2...
Code mixing is a common phenomena in multilingual societies where people switch from one language to...
Sentiment analysis is currently a very dynamic field in Computational Linguistics. Research herein h...
Sentiment Analysis has become an in-creasingly important research topic. This paper describes our ap...
This paper describes our sentiment analysis systems which have been built for SemEval-2015 Task 10 S...
We present the development and evaluation of a semantic analysis task that lies at the intersection ...
Abstract. Sentiment Analysis in Twitter has been considered as a vital task for a decade from variou...
This paper describes the system that was sub-mitted to SemEval2015 Task 10: Sentiment Analysis in Tw...
In this paper, we describe the 2015 iteration of the SemEval shared task on Sentiment Analysis in Tw...
This report summarizes the objectives and evaluation of the SemEval 2015 task on the sentiment analy...
In this paper, we describe the 2015 iteration of the SemEval shared task on Sentiment Analy-sis in T...
This paper describes our contribution to the SemEval-2020 Task 9 on Sentiment Analysis for Code-mixe...
Sentiment analysis of Dravidian languages has received attention in recent years. However, most soci...
This paper describes our participation at SemEval-2014 sentiment analysis task, in both contextual a...
We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferri...
In this paper, we describe our system for the Sentiment Analysis of Twitter shared task in SemEval 2...
Code mixing is a common phenomena in multilingual societies where people switch from one language to...
Sentiment analysis is currently a very dynamic field in Computational Linguistics. Research herein h...
Sentiment Analysis has become an in-creasingly important research topic. This paper describes our ap...
This paper describes our sentiment analysis systems which have been built for SemEval-2015 Task 10 S...