# Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/quantifying-product-favorability-and-extracting-notable-product-features-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Suppawong Tuarob,Conrad S. Tucker |
| Citations | 108 |
| DOI | 10.1115/1.4029562 |
| Fields | Computer Science,Social Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2053379819 |
| Type | article |
| Year | 2015 |

## Paper authors

- [Conrad S. Tucker](https://scholariq.org/researchers/conrad-s-tucker/)

## Paper journal

- [Journal of Computing and Information Science in Engineering](https://scholariq.org/journals/journal-of-computing-and-information-science-in-engineering/)

## Paper primary topic

- [Digital Marketing and Social Media](https://scholariq.org/topics/digital-marketing-and-social-media/)

## Paper topics

- [Digital Marketing and Social Media](https://scholariq.org/topics/digital-marketing-and-social-media/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [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.