Abstract: This paper presents an approach of extraction and term weighting scheme for building sentiment vocabulary, which is constantly updated for the task of sentiment classification. The author compares the methods based on various statistical schemes and shows the computational complexity of generating representations for N dynamic documents depending on weighting schemes.
Keywords: corpus linguistics, text classification and categorization, social networks data analysis, weighting schemes
Authors and copyright holders:
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For citation:
Rubtsova Yu. V. Automatic term extraction approach in dynamic text collection for building Word-Emotion Dictionary for Twitter. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2014, no. 3(33), pp. 140–144.
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