A SEMI-SUPERVISED APPROACH OF SHORT TEXT TOPIC MODELING USING EMBEDDED FUZZY CLUSTERING FOR TWITTER HASHTAG RECOMMENDATION

A semi-supervised approach of short text topic modeling using embedded fuzzy clustering for Twitter hashtag recommendation

Abstract Social media stands as a crucial information source across various real-world challenges.Platforms cereal box like Twitter, extensively used by news outlets for real-time updates, categorize news via hashtags.These hashtags act as pivotal meta-information for linking tweets to underlying themes, yet many tweets lack them, posing challenges

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Optimising Retail Environments for Older Adults: Insights into Customer Behaviour and Organisational Performance

Retailers have traditionally prioritised younger customers, often overlooking the distinct needs of older consumers.As this demographic grows, it is EFI Fuel Rail Fittings increasingly important to cater to their shopping preferences.This study explores the behaviours, needs, and challenges of Croatian consumers aged 60+ through qualitative semi-st

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Determining Stingray Movement Patterns in a Wave-Swept Coastal Zone Using a Blimp for Continuous Aerial Video Surveillance

Stingrays play a key role in the regulation of nearshore ecosystems.However, their movement ecology in high-energy surf areas remains largely unknown due to the notorious difficulties in conducting research in these environments.Using a blimp as an aerial platform for video surveillance, we overcame some of the limitations of other tracking methods

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