# B. Shravan Kumar

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/b-shravan-kumar/

## Facts

| Field | Value |
| --- | --- |
| Citations | 311 |
| Field | Network Security and Intrusion Detection |
| h-index | 4 |
| i10-index | 2 |
| Last Known Institution | Institute of Electronics |
| OpenAlex ID | https://openalex.org/A5103740417 |
| Works | 9 |

## Researcher papers

- [A survey of the applications of text mining in financial domain](https://scholariq.org/papers/a-survey-of-the-applications-of-text-mining-in-financial-domain/)
- [Text Document Classification with PCA and One-Class SVM](https://scholariq.org/papers/text-document-classification-with-pca-and-one-class-svm/)
- [One-Class Text Document Classification with OCSVM and LSI](https://scholariq.org/papers/one-class-text-document-classification-with-ocsvm-and-lsi/)
- [Multidimensional distributed opinion extraction for sentiment analysis - a novel approach](https://scholariq.org/papers/multidimensional-distributed-opinion-extraction-for-sentiment-analysis-a-novel/)
- [LDA Based Feature Selection for Document Clustering](https://scholariq.org/papers/lda-based-feature-selection-for-document-clustering/)
- [Implementing Machine Learning for AI-Powered Solutions in Robotics, Computer Vision, and Natural Language Processing](https://scholariq.org/papers/implementing-machine-learning-for-ai-powered-solutions-in-robotics-computer/)
- [A Hybrid Approach Using Topic Modeling and Class-Association Rule Mining for Text Classification: the Case of Malware Detection](https://scholariq.org/papers/a-hybrid-approach-using-topic-modeling-and-class-association-rule-mining-for/)
- [Predicting Indian Stock Market Using the Psycho-Linguistic Features of Financial News](https://scholariq.org/papers/predicting-indian-stock-market-using-the-psycho-linguistic-features-of-financial/)
- [Enhancing Chili Disease Detection: A Hybrid Deep Learning Approach with YOLOv5 Algorithm](https://scholariq.org/papers/enhancing-chili-disease-detection-a-hybrid-deep-learning-approach-with-yolov5/)

## Researcher topics

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)
- [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/)

## Researcher university

- [Institute of Electronics](https://scholariq.org/institutions/institute-of-electronics-2/)

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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.