# Optimizing semantic LSTM for spam detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/optimizing-semantic-lstm-for-spam-detection/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Gauri Jain,Маниша Шарма,Basant Agarwal |
| Citations | 146 |
| DOI | 10.1007/s41870-018-0157-5 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2797652130 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Маниша Шарма](https://scholariq.org/researchers/a5100608185/)

## Paper primary topic

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)

## Paper topics

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)

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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.