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Information extraction from electronic medical documents: state of the art and future research directions
In the medical field, a doctor must have a comprehensive knowledge by reading and writing
narrative documents, and he is responsible for every decision he takes for patients …
narrative documents, and he is responsible for every decision he takes for patients …
A survey on social media influence environment and influencers identification
Social media users can be influenced directly by their close relationships, such as their
friends, family, and colleagues. They can also be influenced by those who follow them …
friends, family, and colleagues. They can also be influenced by those who follow them …
BERT-and CNN-based TOBEAT approach for unwelcome tweets detection
Social media platforms have become an inevitable part of our lives today. Twitter is one such
major online social networking platform. Recently, it pointed to exponential growth with …
major online social networking platform. Recently, it pointed to exponential growth with …
Exploring visual representations of computer mouse movements for bot detection using deep learning approaches
Nowadays, bots can be seen everywhere on the Internet and are responsible for a large
percentage of website traffic. The problem of bot detection has increasingly gained attention …
percentage of website traffic. The problem of bot detection has increasingly gained attention …
Toward a new approach to author profiling based on the extraction of statistical features
Recently, author profiling on social media and on online platforms, characterized by a huge
volumes of data, has become more than a critical issue. This issue is of increasing interest in …
volumes of data, has become more than a critical issue. This issue is of increasing interest in …
Novel semantic and statistic features-based author profiling approach
Abstract The Author Profiling (AP) task aims to predict certain demographic (eg, age,
gender) about authors from their documents. AP on social media networks is gaining …
gender) about authors from their documents. AP on social media networks is gaining …
Towards an end-to-end isolated and continuous deep gesture recognition process
Behavior recognition in video sequences is an interesting task in the computer vision field.
Human action recognition, allows machines to analyze and comprehend several human …
Human action recognition, allows machines to analyze and comprehend several human …
Combining machine learning and ontology: A systematic literature review
Motivated by the desire to explore the process of combining inductive and deductive
reasoning, we conducted a systematic literature review of articles that investigate the …
reasoning, we conducted a systematic literature review of articles that investigate the …
Bots and gender detection on Twitter using stylistic features
This paper describes our proposed method for the author profiling task at PAN 2019. The
aim of this task is to identify the type of a Twitter user (ie bot or human). Then, in case of a …
aim of this task is to identify the type of a Twitter user (ie bot or human). Then, in case of a …
Extracting and structuring information from the electronic medical text: state of the art and trendy directions
MY Landolsi, L Hlaoua, LB Romdhane - Multimedia Tools and …, 2024 - Springer
In the medical field, doctors must have comprehensive knowledge by reading and writing
narrative documents, and they are responsible for every decision they take for patients …
narrative documents, and they are responsible for every decision they take for patients …