Alexander Gelbukh
Instituto Politécnico Nacional(MX)
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Advanced Text Analysis Techniques, Sentiment Analysis and Opinion Mining, Semantic Web and Ontologies
Most-Cited Works
- → Aspect extraction for opinion mining with a deep convolutional neural network(2016)858 cited
- → Computational Linguistics and Intelligent Text Processing(2002)834 cited
- → Deep Learning-Based Document Modeling for Personality Detection from Text(2017)669 cited
- → Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis(2015)538 cited
- → Sentiment Analysis Is a Big Suitcase(2017)424 cited
- → Soft Similarity and Soft Cosine Measure: Similarity of Features in Vector Space Model(2014)373 cited
- → Multimodal sentiment analysis using hierarchical fusion with context modeling(2018)366 cited
- → Syntactic N-grams as machine learning features for natural language processing(2013)317 cited
- → Recent trends in deep learning based personality detection(2019)314 cited
- → A Rule-Based Approach to Aspect Extraction from Product Reviews(2014)288 cited