Cargando…
A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words
With the spurt of online user-generated contents on web, sentiment analysis has become a very active research issue in data mining and natural language processing. As the most important indicator of sentiment, sentiment words which convey positive and negative polarity are quite instrumental for sen...
Autores principales: | Wang, Bingkun, Huang, Yongfeng, Wu, Xian, Li, Xing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4461746/ https://www.ncbi.nlm.nih.gov/pubmed/26106409 http://dx.doi.org/10.1155/2015/525437 |
Ejemplares similares
-
Determining Fuzzy Membership for Sentiment Classification: A Three-Layer Sentiment Propagation Model
por: Zhao, Chuanjun, et al.
Publicado: (2016) -
Foundations of fuzzy modeling: with and without words
por: Novák, Vilém, et al.
Publicado: (2016) -
Improving the Polarity of Text through word2vec Embedding for Primary Classical Arabic Sentiment Analysis
por: Aoumeur, Nour Elhouda, et al.
Publicado: (2023) -
Sentiment Analysis for Words and Fiction Characters From the Perspective of Computational (Neuro-)Poetics
por: Jacobs, Arthur M.
Publicado: (2019) -
The Scalable Fuzzy Inference-Based Ensemble Method for Sentiment Analysis
por: Isikdemir, Yunus Emre, et al.
Publicado: (2022)