Hashtag recommendation for enhancing the popularity of social media posts
Bibliographic Data
| ID | 4652654 |
|---|---|
| Authors | Purnadip Chakrabarti (Indian Institute of Technology Indore), Eish Malvi (Indian Institute of Technology Indore), Shubhi Bansal (0000-0002-8034-8220, Indian Institute of Technology Indore), Nagendra Kumar (0000-0002-8292-7947, Indian Institute of Technology Indore, corresponding author) |
| Year | 2023 |
| Volume | 13 |
| Issue | 1 |
| Pages | 21-21 |
| Publication date | 2023-01-11 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-023-01024-9 |
| PMID | 36686375 |
| OpenAlex | W4315647957 |
| Language | EN |
| Citations received | 8 |
| References cited | 30 |
Data science · Internet privacy · Popularity · Social media · World Wide Web · Complex Network Analysis Techniques · Computer Science · Psychology · Recommender Systems and Techniques · Web Data Mining and Analysis
Leveraging Artificial Intelligence for Predicting Music Popularity Using Social Media
Health promotion campaigns using social media
A Multimodal Framework for Depression Detection During Covid-19 via Harvesting Social Media
A Comprehensive Multimodal Framework for Optimizing Social Media Hashtag Recommendations
Dynamic Hashtag Recommendation in Social Media With Trend Shift Detection and Adaptation
Communicating through #hashtags
Meeting refugees on Instagram
TwitterTagNet
| Citations per year | 4 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |