# Fusing audio, visual and textual clues for sentiment analysis from multimodal content

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fusing-audio-visual-and-textual-clues-for-sentiment-analysis-from-multimodal/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Soujanya Poria,Erik Cambria,Newton Howard,Guang-Bin Huang,Amir Hussain |
| Citations | 544 |
| DOI | 10.1016/j.neucom.2015.01.095 |
| Fields | Computer Science,Psychology |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1133916940 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Amir Hussain](https://scholariq.org/researchers/amir-hussain/)

## Paper primary topic

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

## Paper topics

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.