Using an auxiliary dataset to improve emotion estimation in users’ opinions

• Published in: Journal of intelligent information systems Vol. 56; no. 3; pp. 581 - 603
• Main Authors: Abdi, Siamak, Bagherzadeh, Jamshid, Gholami, Gholamhossein, Tajbakhsh, Mir Saman
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2021; Springer Nature B.V
• Subjects: Artificial Intelligence; Computer Science; Data Structures and Information Theory; Datasets; Decision making; Dirichlet problem; Economic analysis; Emotions; Information Storage and Retrieval; IT in Business; Learning; Natural Language Processing (NLP); Social networks; User satisfaction; Topic modeling; Sentiment analysis; Text analysis; Latent Dirichlet allocation; Emotion
• ISSN: 0925-9902; 1573-7675
• DOI: 10.1007/s10844-021-00643-y

Sentimental analysis of social networking data is an economically affordable and effective way to track and evaluate public viewpoints that are critical for decision making in different areas. Predicting the users’ future opinions is crucial for companies and services; if companies understand users’...