# Erik Cambria

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/erik-cambria/

## Facts

| Field | Value |
| --- | --- |
| Citations | 57,291 |
| Field | Sentiment Analysis and Opinion Mining |
| h-index | 115 |
| i10-index | 404 |
| Last Known Institution | Nanyang Technological University |
| OpenAlex ID | https://openalex.org/A5100752356 |
| ORCID iD | https://orcid.org/0000-0002-3030-1280 |
| Works | 793 |

## Researcher papers

- [A review of affective computing: From unimodal analysis to multimodal fusion](https://scholariq.org/papers/a-review-of-affective-computing-from-unimodal-analysis-to-multimodal-fusion/)
- [Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions](https://scholariq.org/papers/multimodal-sentiment-analysis-a-systematic-review-of-history-datasets-multimodal/)
- [Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis](https://scholariq.org/papers/convolutional-mkl-based-multimodal-emotion-recognition-and-sentiment-analysis/)
- [Fusing audio, visual and textual clues for sentiment analysis from multimodal content](https://scholariq.org/papers/fusing-audio-visual-and-textual-clues-for-sentiment-analysis-from-multimodal/)
- [Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications](https://scholariq.org/papers/suicidal-ideation-detection-a-review-of-machine-learning-methods-and/)

## Researcher topics

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling-2/)
- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)

## Researcher university

- [Nanyang Technological University](https://scholariq.org/institutions/nanyang-technological-university/)

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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.