Papers by Alka Kumar

2 papers
HindiMD: A Multi-domain Corpora for Low-resource Sentiment Analysis (2022.lrec-1)

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Challenge: Social media platforms such as Twitter and Facebook are a new channel of information dissemination for many negative groups for recruitment.
Approach: They propose to use a social media sentiment analysis corpus annotated with the sentiment classes positive, negative and neutral to investigate the polarity of user-expressed opinions.
Outcome: The proposed model is based on a set of benchmark datasets for sentiment analysis across a range of domains and languages.
Multi-domain Tweet Corpora for Sentiment Analysis: Resource Creation and Evaluation (2020.lrec-1)

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Challenge: a huge amount of content is being generated every day due to the pervasiveness of social media.
Approach: They firstly create a multi-domain tweet sentiment corpora and then establish a deep neural network based baseline framework to address the above mentioned issues.
Outcome: The proposed dataset achieves 84.65% accuracy for sentiment analysis using a neural network, long short term memory, and gated recurrent unit (GRU).

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