# Trustworthiness of Customer Reviews of E-Commerce Portal Using Supervised and Semi-supervised Machine Learning Techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/trustworthiness-of-customer-reviews-of-e-commerce-portal-using-supervised-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ritesh Prasad,Sitikantha Chattopadhyay,Shiplu Das |
| Citations | 0 |
| DOI | 10.1007/978-981-99-0189-0_43 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4367591886 |
| Type | book-chapter |
| Year | 2023 |

## Paper authors

- [Shiplu Das](https://scholariq.org/researchers/shiplu-das/)

## Paper journal

- [Lecture notes in electrical engineering](https://scholariq.org/journals/lecture-notes-in-electrical-engineering/)

## 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/)
- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.