Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: LT3 at SemEval-2020 Task 9: Cross-lingual Embeddings for Sentiment
  Analysis of Hinglish Social Media Text   This paper describes our contribution to the SemEval-2020 Task 9 on Sentiment
Analysis for Code-mixed Social Media Text. We investigated two approaches to
solve the task of Hinglish sentiment analysis. The first approach uses
cross-lingual embeddings resulting from projecting Hinglish and pre-trained
English FastText word embeddings in the same space. The second approach
incorporates pre-trained English embeddings that are incrementally retrained
with a set of Hinglish tweets. The results show that the second approach
performs best, with an F1-score of 70.52% on the held-out test data.

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The categories of this paper are: atom-ph
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The categories of this paper are: q-alg
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The categories of this paper are: q-fin
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The categories of this paper are: hep-ex
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The categories of this paper are: q-bio
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The categories of this paper are: alg-geom
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The categories of this paper are: econ
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The categories of this paper are: nucl-ex
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The categories of this paper are: acc-phys
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The categories of this paper are: stat
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The categories of this paper are: hep-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: comp-gas
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The categories of this paper are: bayes-an
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The categories of this paper are: physics
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The categories of this paper are: gr-qc