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[HTML][HTML] Sentiment analysis of Twitter data
Y Wang, J Guo, C Yuan, B Li - Applied Sciences, 2022 - mdpi.com
Twitter has become a major social media platform and has attracted considerable interest
among researchers in sentiment analysis. Research into Twitter Sentiment Analysis (TSA) is …
among researchers in sentiment analysis. Research into Twitter Sentiment Analysis (TSA) is …
[HTML][HTML] The behavioral intervention technology model: an integrated conceptual and technological framework for eHealth and mHealth interventions
A growing number of investigators have commented on the lack of models to inform the
design of behavioral intervention technologies (BITs). BITs, which include a subset of …
design of behavioral intervention technologies (BITs). BITs, which include a subset of …
Content-based movie recommendation system using genre correlation
A recommendation system is a system that provides suggestions to users for certain
resources like books, movies, songs, etc., based on some data set. Movie recommendation …
resources like books, movies, songs, etc., based on some data set. Movie recommendation …
Content-based filtering for recommendation systems using multiattribute networks
Abstract Content-based filtering (CBF), one of the most successful recommendation
techniques, is based on correlations between contents. CBF uses item information …
techniques, is based on correlations between contents. CBF uses item information …
A study on detecting drones using deep convolutional neural networks
The object detection is a challenging problem in computer vision with various potential real-
world applications. The objective of this study is to evaluate the deep learning based object …
world applications. The objective of this study is to evaluate the deep learning based object …
Linked open data to support content-based recommender systems
The World Wide Web is moving from a Web of hyper-linked Documents to a Web of linked
Data. Thanks to the Semantic Web spread and to the more recent Linked Open Data (LOD) …
Data. Thanks to the Semantic Web spread and to the more recent Linked Open Data (LOD) …
Serendipitous recommendation in e-commerce using innovator-based collaborative filtering
Collaborative filtering (CF) algorithms have been widely used to build recommender
systems since they have distinguishing capability of sharing collective wisdoms and …
systems since they have distinguishing capability of sharing collective wisdoms and …
A sentiment‐enhanced hybrid recommender system for movie recommendation: a big data analytics framework
Y Wang, M Wang, W Xu - Wireless Communications and …, 2018 - Wiley Online Library
Movie recommendation in mobile environment is critically important for mobile users. It
carries out comprehensive aggregation of user's preferences, reviews, and emotions to help …
carries out comprehensive aggregation of user's preferences, reviews, and emotions to help …
Enhancing collaborative filtering by user interest expansion via personalized ranking
Recommender systems suggest a few items from many possible choices to the users by
understanding their past behaviors. In these systems, the user behaviors are influenced by …
understanding their past behaviors. In these systems, the user behaviors are influenced by …
A diffusion mechanism for social advertising over microblogs
Social media have increasingly become popular platforms for information dissemination.
Recently, companies have attempted to take advantage of social advertising to deliver their …
Recently, companies have attempted to take advantage of social advertising to deliver their …