# Arunima Jaiswal

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/arunima-jaiswal/

## Facts

| Field | Value |
| --- | --- |
| Citations | 740 |
| Field | Sentiment Analysis and Opinion Mining |
| h-index | 13 |
| i10-index | 19 |
| Last Known Institution | The University of Texas at San Antonio Health Science Center |
| OpenAlex ID | https://openalex.org/A5059191866 |
| ORCID iD | 0000-0002-2376-9416 |
| Works | 109 |

## Researcher papers

- [Systematic literature review of sentiment analysis on Twitter using soft computing techniques](https://scholariq.org/papers/systematic-literature-review-of-sentiment-analysis-on-twitter-using-soft/)
- [A Deep Swarm-Optimized Model for Leveraging Industrial Data Analytics in Cognitive Manufacturing](https://scholariq.org/papers/a-deep-swarm-optimized-model-for-leveraging-industrial-data-analytics-in/)
- [Software reliability prediction using machine learning techniques](https://scholariq.org/papers/software-reliability-prediction-using-machine-learning-techniques-2/)
- [Swarm intelligence based optimal feature selection for enhanced predictive sentiment accuracy on twitter](https://scholariq.org/papers/swarm-intelligence-based-optimal-feature-selection-for-enhanced-predictive/)
- [Sentiment Analysis Using Cuckoo Search for Optimized Feature Selection on Kaggle Tweets](https://scholariq.org/papers/sentiment-analysis-using-cuckoo-search-for-optimized-feature-selection-on-kaggle/)
- [Automatic text summarization and it's methods - a review](https://scholariq.org/papers/automatic-text-summarization-and-it-s-methods-a-review/)
- [Software Reliability Prediction Using Machine Learning Techniques](https://scholariq.org/papers/software-reliability-prediction-using-machine-learning-techniques/)
- [Trends in Extractive and Abstractive Techniques in Text Summarization](https://scholariq.org/papers/trends-in-extractive-and-abstractive-techniques-in-text-summarization/)
- [Security Testing of Web Applications: Issues and Challenges](https://scholariq.org/papers/security-testing-of-web-applications-issues-and-challenges/)
- [Image Sentiment Analysis Using Convolutional Neural Network](https://scholariq.org/papers/image-sentiment-analysis-using-convolutional-neural-network/)
- [Comparative Analysis of Deep Learning Models for Potato Leaf Disease Detection](https://scholariq.org/papers/comparative-analysis-of-deep-learning-models-for-potato-leaf-disease-detection/)
- [Early Prediction of Rice Leaf Disease Using Deep Neural Network Models](https://scholariq.org/papers/early-prediction-of-rice-leaf-disease-using-deep-neural-network-models/)

## Researcher topics

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Misinformation and Its Impacts](https://scholariq.org/topics/misinformation-and-its-impacts/)
- [Advanced Malware Detection Techniques](https://scholariq.org/topics/advanced-malware-detection-techniques/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Researcher university

- [The University of Texas at San Antonio Health Science Center](https://scholariq.org/institutions/the-university-of-texas-at-san-antonio-health-science-center/)

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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.