# SAEKCS: Sentiment Analysis for English – Kannada Code SwitchText Using Deep Learning Techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/saekcs-sentiment-analysis-for-english-kannada-code-switchtext-using-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ramesh Chundi,Vishwanath R Hulipalled,Jay B. Simha |
| Citations | 13 |
| DOI | 10.1109/icstcee49637.2020.9277030 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3113206711 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Ramesh Chundi](https://scholariq.org/researchers/ramesh-chundi/)

## Paper journal

- [2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)](https://scholariq.org/journals/2020-international-conference-on-smart-technologies-in-computing-electrical-and/)

## 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/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

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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.