Big data analytics meets social media: A systematic review of techniques, open issues, and future directions
Abstract Social Networking Services (SNSs) connect people worldwide, where they
communicate through sharing contents, photos, videos, posting their first-hand opinions …
communicate through sharing contents, photos, videos, posting their first-hand opinions …
A new direction in social network analysis: Online social network analysis problems and applications
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …
of the Internet has become widespread worldwide as the technological infrastructure and the …
[HTML][HTML] Social media analytics–Challenges in topic discovery, data collection, and data preparation
Since an ever-increasing part of the population makes use of social media in their day-to-
day lives, social media data is being analysed in many different disciplines. The social …
day lives, social media data is being analysed in many different disciplines. The social …
Digital transformation and tourist experience co-design: Big social data for planning cultural tourism
Digital transformation has completely changed the demand/offering interaction in the travel
industry, as well as largely affecting the customer journey. In this direction,“big social data” …
industry, as well as largely affecting the customer journey. In this direction,“big social data” …
A hybrid CNN-LSTM: A deep learning approach for consumer sentiment analysis using qualitative user-generated contents
With the fastest growth of information and communication technology (ICT), the availability of
web content on social media platforms is increasing day by day. Sentiment analysis from …
web content on social media platforms is increasing day by day. Sentiment analysis from …
Using twitter and web news mining to predict COVID-19 outbreak
K Jahanbin, V Rahmanian - Asian Pacific journal of tropical …, 2020 - journals.lww.com
On January 9, 2020, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),
formerly known as 2019-nCoV, was declared the causative agent in 15 of the 59 …
formerly known as 2019-nCoV, was declared the causative agent in 15 of the 59 …
Exploration of social media for sentiment analysis using deep learning
LC Chen, CM Lee, MY Chen - Soft Computing, 2020 - Springer
With the rapid growth of web content from social media, such studies as online opinion
mining or sentiment analysis of text have started receiving attention from government …
mining or sentiment analysis of text have started receiving attention from government …
Conceptualizing big social data
The popularity of social media and computer-mediated communication has resulted in high-
volume and highly semantic data about digital social interactions. This constantly …
volume and highly semantic data about digital social interactions. This constantly …
[HTML][HTML] Social media analytics for innovation management research: A systematic literature review and future research agenda
New trends in innovation management may require new research methods. Social media
analytics (SMA)—a method for capturing and analyzing data from user-generated content …
analytics (SMA)—a method for capturing and analyzing data from user-generated content …
Dissecting emotion and user influence in social media communities: An interaction modeling approach
Human emotion expressed in social media plays an increasingly important role in shaping
policies and decisions. However, the process by which emotion produces influence in online …
policies and decisions. However, the process by which emotion produces influence in online …