Fuzzy logic applied to opinion mining: a review
The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …
available user-generated information. Within this information, it is easy to find subjective …
Over a decade of social opinion mining: a systematic review
Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …
types of social interaction across multiple channels. This systematic review focuses on the …
A comparative evaluation of pre-processing techniques and their interactions for twitter sentiment analysis
Pre-processing is the first step in text classification, and choosing right pre-processing
techniques can improve classification effectiveness. We experimentally compare 16 …
techniques can improve classification effectiveness. We experimentally compare 16 …
A gradient boosted decision tree-based sentiment classification of twitter data
People communicate their views, arguments and emotions about their everyday life on
social media (SM) platforms (eg Twitter and Facebook). Twitter stands as an international …
social media (SM) platforms (eg Twitter and Facebook). Twitter stands as an international …
Introducing a novel revenue-sharing contract in media supply chain management using data mining and multi-criteria decision-making methods
Despite all the advances in supply chain coordination, some businesses are still
coordinated traditionally, including the media supply chain, in which the actor's efficiency or …
coordinated traditionally, including the media supply chain, in which the actor's efficiency or …
Triggers and tweets: implicit aspect-based sentiment and emotion analysis of community chatter relevant to education post-COVID-19
This research proposes a well-being analytical framework using social media chatter data.
The proposed framework infers analytics and provides insights into the public's well-being …
The proposed framework infers analytics and provides insights into the public's well-being …
Review of survey research in fuzzy approach for text mining
YW Lai, MY Chen - Ieee Access, 2023 - ieeexplore.ieee.org
Text mining has been a popular research topic in the field of natural language processing.
With the emergence of Web 2.0 and the development of social software, the amount of text …
With the emergence of Web 2.0 and the development of social software, the amount of text …
Solving the twitter sentiment analysis problem based on a machine learning-based approach
F Zarisfi Kermani, F Sadeghi, E Eslami - Evolutionary Intelligence, 2020 - Springer
Abstract Twitter Sentiment Analysis (TSA) as part of a text classification task has been widely
attended by researchers in recent years. This paper presents a machine learning approach …
attended by researchers in recent years. This paper presents a machine learning approach …
Comparative analysis of Deep Learning and Machine Learning algorithms for emoji prediction from Arabic text
Emojis have become a crucial part of text-based communication in recent years, especially
on social media and messaging services. As a result, emoji prediction has gained …
on social media and messaging services. As a result, emoji prediction has gained …
Bot prediction on social networks of Twitter in altmetrics using deep graph convolutional networks
In the context of smart cities, it is crucial to filter out falsified information spread on social
media channels through paid campaigns or bot-user accounts that significantly influence …
media channels through paid campaigns or bot-user accounts that significantly influence …