Omlml
A Helpful Opinion Mining Method Based on Lexicon and Machine Learning in Social Networks
Bibliographic Data
| ID | 4616052 |
|---|---|
| Authors | Mohammadreza Keyvanpour, Mohammad Reza Keyvanpour (0000-0003-2115-9099, Alzahra University, corresponding author), Zahra Karimi Zandian (Alzahra University), Maryam Heidarypanah (Qazvin Islamic Azad University) |
| Year | 2020 |
| Volume | 10 |
| Issue | 1 |
| Pages | 10 |
| Publication date | 2020-12-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-019-0622-6 |
| OpenAlex | W2999093413 |
| Language | EN |
| Citations received | 7 |
| References cited | 50 |
Ambiguity · Feature vector · Lexicon · Linguistics · Machine learning · Natural language processing · Sentiment analysis · Support vector machine · Advanced Text Analysis Techniques · Computer Science · Sentiment Analysis and Opinion Mining · Text and Document Classification Technologies · Artificial Intelligence
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Statistics Notes
Opinion mining
Why do internet consumers block ads? New evidence from consumer opinion mining and sentiment analysis
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Social media analysis and summarization for opinion mining
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Social opinion mining for supporting buyers' complex decision making
| Citations per year | 1.17 |
|---|---|
| Citation span | 2020 - 2024 (5) |
| Highly cited | No |