Data-Driven Strategies for Twitter Engagement: Hashtag Recommendations and API Insights

Title

Data-Driven Strategies for Twitter Engagement: Hashtag Recommendations and API Insights

Creator

Ramasamy, Gobi; Natarajan, Arul Kumar; Rajan, Arokia Paul

Description

Twitter is a great way to connect with people worldwide, and one of the best ways to do that is by using hashtags. A hashtag is a keyword or phrase attached to a particular topic, and users can use it to find related tweets. Using a hashtag relevant to the needs or for business can increase the tweets visibility and make it easier for people to see the content they want. It can hugely help content creators who want to increase engagement and influence their tweets. This research introduces TagMate, a hashtag recommender system for Twitter that offers significant benefits. By accessing the tweets using Twitter API and after analyzing and performing algorithms, recommendations for hashtags can be obtained. The Twitter API allows access to various information about the account, including followers, tweets, content, etc. This information can be used to generate recommendations for hashtags related to the business. The system will generate hashtags according to the tweet and recommend trending or popular hashtags to increase their reach or engagement on the Twitter platform. Using the API, a dashboard can be created showing which hashtags are being used most frequently and which are most popular. This information can help create more relevant and engaging tweets, attracting more followers and interest. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Source

Lecture Notes in Electrical Engineering;Volume;1269;pp.57-75

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Data-driven; Hashtag recommender system; Hashtags; Trending words; Twitter API; Twitter engagement; Word embedding

Coverage

Ramasamy G., CHRIST (Deemed to be University), Bangalore, India; Natarajan A.K., Samarkand International University of Technology, Samarkand, Uzbekistan; Rajan A.P., CHRIST (Deemed to be University), Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 18761100; ISBN: 978-981979514-7;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-97-9515-4_5

https://www.scopus.com/pages/publications/105003895046?origin=resultslist