Sentiment prediction based on analysis of customers assessments in food serving businesses
Human activities and behaviour in different domains are usually influenced by other people’s actions and opinion. Nowadays, it is evident that there is a growing research interest in sentiment analysis, evaluation and prediction. Content from web sources and social media is frequently used when peop...
Saved in:
| Main Authors: | Zoltan Geler, Miloš Savić, Brankica Bratić, Vladimir Kurbalija, Mirjana Ivanović, Weihui Dai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-07-01
|
| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2020.1870436 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Correlations and Fractality in Sentence-Level Sentiment Analysis Based on VADER for Literary Texts
by: Ricardo Hernández-Pérez, et al.
Published: (2024-11-01) -
Opinion Mining on Viet Thanh Nguyen’s The Sympathizer Using Topic Modelling and Sentiment Analysis
by: Sea Yun Ying, et al.
Published: (2022-02-01) -
Improving sentiment analysis in Arabic: A combined approach
by: Belgacem Brahimi, et al.
Published: (2021-12-01) -
Understanding Emojis for Sentiment Analysis
by: Byungkyu Yoo, et al.
Published: (2021-04-01) -
A Survey of Deep Learning Techniques for Arabic Aspect-Based Sentiment Analysis
by: Dalal Alqusair, et al.
Published: (2025-01-01)