The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions and emoticons to help the preprocessing of texts published in social networks. The use of these dictionaries is intended to improve the results of the tasks related to data obtained from these platforms. Therefore, a hypothesis was evaluated in the task of identifying author profiles (author profiling).
Tópico:
Natural Language Processing Techniques
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FuenteAdvances in intelligent systems and computing
