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Tweets Classification using Corpus Dependent Tags, Character and POS N-grams.

Research article (CLEF (Working Notes), 2015) · cited 22× · AI/ML
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Tweets Classification using Corpus Dependent Tags, Character and POS N-grams.

Summary

Tweets Classification using Corpus Dependent Tags, Character and POS N-grams. is a scholarly article[1].

Key Facts

  • Tweets Classification using Corpus Dependent Tags, Character and POS N-grams.'s instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Tweets Classification using Corpus Dependent Tags, Character and POS N-grams.. Retrieved May 24, 2026, from https://4ort.xyz/entity/tweets-classification-using-corpus-dependent-tags-character-and-pos-n-grams
MLA “Tweets Classification using Corpus Dependent Tags, Character and POS N-grams..” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tweets-classification-using-corpus-dependent-tags-character-and-pos-n-grams.
BibTeX @misc{4ortxyz_tweets-classification-using-corpus-dependent-tags-character-and-pos-n-grams_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Tweets Classification using Corpus Dependent Tags, Character and POS N-grams.}}, year = {2026}, url = {https://4ort.xyz/entity/tweets-classification-using-corpus-dependent-tags-character-and-pos-n-grams}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Tweets Classification using Corpus Dependent Tags, Character and POS N-grams. — https://4ort.xyz/entity/tweets-classification-using-corpus-dependent-tags-character-and-pos-n-grams (retrieved 2026-05-24)

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