A review of text corpus-based tourism big data mining

Q Li, S Li, S Zhang, J Hu, J Hu - Applied Sciences, 2019 - mdpi.com
With the massive growth of the Internet, text data has become one of the main formats of
tourism big data. As an effective expression means of tourists' opinions, text mining of such …

Topic-level sentiment analysis of social media data using deep learning

AR Pathak, M Pandey, S Rautaray - Applied Soft Computing, 2021 - Elsevier
Due to the inception of Web 2.0 and freedom to facilitate the dissemination of information,
sharing views, expressing opinions with regards to current world level events, services …

[PDF][PDF] Attention-Based Bi-LSTM Model for Arabic Depression Classification.

AM Almars - Computers, Materials & Continua, 2022 - academia.edu
Depression is a common mental health issue that affects a large percentage of people all
around the world. Usually, people who suffer from this mood disorder have issues such as …

A space-time framework for sentiment scope analysis in social media

G Bonifazi, F Cauteruccio, E Corradini… - Big Data and Cognitive …, 2022 - mdpi.com
The concept of scope was introduced in Social Network Analysis to assess the
authoritativeness and convincing ability of a user toward other users on one or more social …

Hann: Hybrid attention neural network for detecting covid-19 related rumors

AM Almars, M Almaliki, TH Noor, MM Alwateer… - IEEE …, 2022 - ieeexplore.ieee.org
In the age of social media, the spread of rumors is becoming easier due to the proliferation
of communication and information dissemination platforms. Detecting rumors is a major …

User behavior mining on social media: a systematic literature review

RM Safari, AM Rahmani, SH Alizadeh - Multimedia Tools and Applications, 2019 - Springer
User behavior mining on Social Media (UBMSM) is the process of representing, analyzing,
and extracting operational and behavioral patterns from user behavioral data in social …

[HTML][HTML] A framework for investigating the dynamics of user and community sentiments in a social platform

G Bonifazi, F Cauteruccio, E Corradini… - Data & Knowledge …, 2023 - Elsevier
Social platforms are the preferred medium for many people to express their opinions on
many topics. This has led many professionals from various fields (marketing, politics …

Seopinion: summarization and exploration of opinion from e-commerce websites

A Mabrouk, RPD Redondo, M Kayed - Sensors, 2021 - mdpi.com
Recently, it has been found that e-commerce (EC) websites provide a large amount of useful
information that exceed the human cognitive processing capacity. In order to help customers …

A Structural Topic and Sentiment-Discourse Model for Text Analysis

L Chen, S Mankad - Management Science, 2024 - pubsonline.informs.org
We consider the common setting where one observes a large number of opinionated text
documents and related covariates, such as the text of online reviews along with the date of …

[PDF][PDF] COVID19 outbreak: A hierarchical framework for user sentiment analysis

AF Ibrahim, M Hassaballah, AA Ali, Y Nam… - Comput. Mater …, 2022 - researchgate.net
Social networking sites in the most modernized world are flooded with large data volumes.
Extracting the sentiment polarity of important aspects is necessary as it helps to determine …