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Natural language processing: state of the art, current trends and challenges
Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …
analyzing human language computationally. It has spread its applications in various fields …
A survey on concept-level sentiment analysis techniques of textual data
Text mining is one of the branches of data mining and refers to as the computing process of
finding new patterns and relations among datasets which appear not to be related. Data …
finding new patterns and relations among datasets which appear not to be related. Data …
Data-Centric Systems and Applications
The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …
accessible data source in the world. Web mining aims to discover useful information or …
Artificial intelligence in recommender systems
Recommender systems provide personalized service support to users by learning their
previous behaviors and predicting their current preferences for particular products. Artificial …
previous behaviors and predicting their current preferences for particular products. Artificial …
Fake news detection using machine learning approaches
Z Khanam, BN Alwasel, H Sirafi… - IOP conference series …, 2021 - iopscience.iop.org
The fake news on social media and various other media is wide spreading and is a matter of
serious concern due to its ability to cause a lot of social and national damage with …
serious concern due to its ability to cause a lot of social and national damage with …
A survey on opinion mining and sentiment analysis: tasks, approaches and applications
With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …
on web regarding day-to-day activities and global issues as well. Evolution of social media …
A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making
User-generated content about brands is an important source of big data that can be
transformed into valuable information. A huge number of items are reviewed and rated by …
transformed into valuable information. A huge number of items are reviewed and rated by …
Sentiment analysis: Mining opinions, sentiments, and emotions
J Zhao, K Liu, L Xu - 2016 - direct.mit.edu
With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …
Web scra**
B Zhao - Encyclopedia of big data, 2022 - Springer
On March 29, 2012, the White House introduced The Big Data Research and Development
Initiative (TBDRDI) at a cost of $200 million. Big data (BD) refers to the collection and …
Initiative (TBDRDI) at a cost of $200 million. Big data (BD) refers to the collection and …
[หนังสือ][B] Sentiment analysis and opinion mining
B Liu - 2022 - books.google.com
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …