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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets

Research datakeyboard_double_arrow_right Dataset 06 Aug 2020Publisher:Zenodo
Authors: Patwa, Parth; Aguilar, Gustavo; Kar, Sudipta; Pandey, Suraj; PYKL, Srinivas; Gamb ̈ack, Bj ̈orn; Chakraborty, Tanmoy; +2 Authors

doi: 10.5281/zenodo.3974926 , 10.5281/zenodo.3974927

SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets

Abstract

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/

Related Organizations
Keywords

English, Code-Mixing, Sentiment Analysis, SemEval-2020, Spanish, Social Media, NLP, Hindi

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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45