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Detecting sarcasm in texts using natural language processing methods.

Student: Pivtorak Iurii

Supervisor: Oleg Stanislavovich Nagornyy

Faculty: St. Petersburg School of Physics, Mathematics, and Computer Science

Educational Programme: Big Data Analysis for Business, Economy, and Society (Master)

Year of Graduation: 2019

The research is aimed at creating machine learning model capable of classifying english texts as sarcastic or non-sarcastic. The model was created using programming language "Python" and neural network creation library "Keras" and was trained on sample of over million texts from "Reddit.com" dated 2009 to 2017. The result of this work is neural network that uses Gated Reccurent Units (GRU) and word representation method Word Embeddings which is capable of detecting whether texts are sarcastic or not. The quality of classification of the model using F1 score metric is 77.3 %.

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