Abstract
The article covers approaches to automated sentiment analysis task. Under the supervised learning method a new program was created with the help of Doc2vec – a module of Gensim that is one of Python’s libraries. The program specialization is short informal texts of ecology domain which are parts of macropolylogues in social network discourse.
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Acknowledgement
This research is supported by Russian Science Foundation, Project № 14-18-01059. The head of the project – Potapova Rodmonga Kondratjevna.
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Maslova, N., Potapov, V. (2017). Neural Network Doc2vec in Automated Sentiment Analysis for Short Informal Texts. In: Karpov, A., Potapova, R., Mporas, I. (eds) Speech and Computer. SPECOM 2017. Lecture Notes in Computer Science(), vol 10458. Springer, Cham. https://doi.org/10.1007/978-3-319-66429-3_54
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