Intelligent text quality analysis systemusing machine learning
DOI:
https://doi.org/10.34185/1562-9945-5-124-2019-18Keywords:
аналіз текстів на якість, тональність, рекламні, лінгвістика, машинного навчання, класифікація текстівAbstract
The work is devoted to the design of an intelligent text quality analysis system using machine learning, namely the development of a software product that allows one to evaluate the quality of texts by a number of criteria.
The aim of the work is to create a software product that would allow a qualitative analysis of texts in accordance with a number of criteria.
The results of testing and research of this software product are presented, as a result of which the most effective models from those obtained during the development of the program were determined.
References
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Posilannya v merezhi Internet: URL: http://datareview.info/article/s
ovremennyie-metodyianaliza-tonalnosti-teksta/
Posilannya v merezhi Internet:
URL: https://code.google.com/archive/p/word2vec/
Posilannya v merezhi Internet:
URL: http://www.script-coding.com/Browse.html
Posilannya v merezhi Internet: Dokumentacziya PyMorphy2.
URL: https://pymorphy2.readthedocs.io/en/0.2/user/index.html
Posilannya v merezhi Internet: Dokumentacziya gensim Word2Vec.
URL: https://radimrehurek.com/gensim/models/word2vec.html
Posilannya v merezhi Internet:
URL: http://scikit-learn.org/stable/testimonials/testimonials.html
