E-word of mouth sentiment analysis for user behavior studies
• Induce and extract the emotion concept in each emotion review by introducing eight factors of sociological theory. • Opinion mining and sentiment classification analysis are based on user behavior rather than product features. • We propose a new classification of conceptual learning and natural la...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Li, Hui [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Selective oxidation of 1,2-propanediol to lactic acid catalyzed by nanosized Mg(OH)2-supported bimetallic Au–Pd catalysts - Feng, Yonghai ELSEVIER, 2014, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:59 ; year:2022 ; number:1 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.ipm.2021.102784 |
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ELV055933971 |
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| 520 | |a • Induce and extract the emotion concept in each emotion review by introducing eight factors of sociological theory. • Opinion mining and sentiment classification analysis are based on user behavior rather than product features. • We propose a new classification of conceptual learning and natural language processes. • The basic idea of our approach is to combine machine learning with dictionary dictionary to make multiple classifications of emotions in user behavior. | ||
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