Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/18921
Autoria: | Maia, R. Ferreira, J. Martins, A. |
Data: | 2019 |
Título próprio: | Rating prediction on yelp academic dataset using paragraph vectors |
Paginação: | 56 - 62 |
Título do evento: | 232nd The IIER International Conference |
ISSN: | 2348-7437 |
Palavras-chave: | Prediction Paragraph vectors learning-to-rank Dimension reduce |
Resumo: | This work studies the application of Paragraph Vectors to the Yelp Academic Dataset reviews in order to predict user ratings for different categories of businesses like auto repair, restaurants or veterinarians. Paragraph Vectors is a word embeddings techniques were each word or piece of text is converted to a continuous low dimensional space. Then, the opinion mining or sentiment analysis is observed as a classification task, where each user review is associated with a label the rating - and a probabilistic model is built with a logistic classifier. Following the intuition that the semantic information present in textual user reviews is generally more complex and complete than the numeric rating itself, this work applies Paragraph Vectors successfully toYelp dataset and evaluates its results. |
Arbitragem científica: | yes |
Acesso: | Acesso Aberto |
Aparece nas coleções: | BRU-CRI - Comunicações a conferências internacionais ISTAR-CRI - Comunicações a conferências internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2815-156197466656-62.pdf | Pós-print | 426,68 kB | Adobe PDF | Ver/Abrir |
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