# MULTI-LABEL TEXT ANALYSIS WITH A CNN AND LSTM BASED HYBRID DEEP LEARNING MODEL

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multi-label-text-analysis-with-a-cnn-and-lstm-based-hybrid-deep-learning-model/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Halıt Çetıner |
| Citations | 8 |
| DOI | 10.54365/adyumbd.1106981 |
| Fields | Computer Science,Social Sciences |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://dergipark.org.tr/en/download/article-file/2388518 |
| OpenAlex ID | https://openalex.org/W4293766367 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Halıt Çetıner](https://scholariq.org/researchers/hal-t-cet-ner/)

## Paper journal

- [Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi](https://scholariq.org/journals/ad-yaman-universitesi-muhendislik-bilimleri-dergisi/)

## Paper primary topic

- [Hate Speech and Cyberbullying Detection](https://scholariq.org/topics/hate-speech-and-cyberbullying-detection/)

## Paper topics

- [Hate Speech and Cyberbullying Detection](https://scholariq.org/topics/hate-speech-and-cyberbullying-detection/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Social Media and Politics](https://scholariq.org/topics/social-media-and-politics/)

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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.