# SentiHealth: creating health-related sentiment lexicon using hybrid approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sentihealth-creating-health-related-sentiment-lexicon-using-hybrid-approach/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Zubair Asghar,Shakeel Ahmad,Maria Qasim,Syeda Rabail Zahra,Fazal Masud Kundi |
| Citations | 68 |
| DOI | 10.1186/s40064-016-2809-x |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://springerplus.springeropen.com/track/pdf/10.1186/s40064-016-2809-x |
| OpenAlex ID | https://openalex.org/W2502187034 |
| PMID | 27504237 |
| Type | article |
| Year | 2016 |

## Paper authors

- [Muhammad Zubair Asghar](https://scholariq.org/researchers/muhammad-zubair-asghar/)

## 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/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)

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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.