# Sentiment Analysis Using Cuckoo Search for Optimized Feature Selection on Kaggle Tweets

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sentiment-analysis-using-cuckoo-search-for-optimized-feature-selection-on-kaggle/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Akshi Kumar,Arunima Jaiswal,Shikhar Garg,Shobhit Verma,Siddhant Kumar |
| Citations | 31 |
| DOI | 10.4018/ijirr.2019010101 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2898995296 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Arunima Jaiswal](https://scholariq.org/researchers/arunima-jaiswal/)

## Paper journal

- [International Journal of Information Retrieval Research](https://scholariq.org/journals/international-journal-of-information-retrieval-research/)

## 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/)
- [Text and Document Classification Technologies](https://scholariq.org/topics/text-and-document-classification-technologies/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)

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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.