Constructing of Semantically Dependent Patterns Based on SpaCy and StanfordNLP Libraries

Author:

Okhapkin Valentin P.,Okhapkina Elena P.,Iskhakova Anastasia O.,Iskhakov Andrey Y.

Publisher

Springer Singapore

Reference21 articles.

1. Tweet Sentiment Extraction. https://www.kaggle.com/c/tweet-sentiment-extraction. Accessed 01 Aug 2020

2. spaCy⋅Industrial-strength Natural Language Processing in Python. https://spacy.io/. Accessed 15 July 2020

3. Software - The Stanford Natural Language Processing Group. https://nlp.stanford.edu/software/. Accessed 15 July 2020

4. GitHub – UniversalDependencies / UD_Russian-SynTagRus: Russian language. https://github.com/UniversalDependencies/UD_Russian-SynTagRus. Accessed 05 July 2020

5. Iskhakova, A., Iskhakov, A., Meshcheryakov, R.: Research of the estimated emotional components for the content analysis. In: International Conference “Applied mathematics, computational science and mechanics: current problems”, AMCSM 2018, Journal of Physics: Conference Series, p. 012065. Institute of Physics Publishing, Voronezh (2018)

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