Sentiment analysis is an emerging trend nowadays to understand people's sentiments in
multiple situations in their quotidian life. Social media data would be utilized for the entire …

With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

Highlights•Machine learning techniques (MLTs) are progressing the drug discovery
process.•Conventional MLTs require large data, lack transparency and are not …

Nowadays, the development of new computer-based technologies has led to rapid increase
in the volume of user-generated textual content on the website. Patient-written medical and …

Sentiment analysis (SA), also referred to as opinion mining, has become a widely used real-
world application of natural language processing in recent times. Its main goal is to identify …

Sentiment analysis has become one of the most active research areas in natural language
processing, and the Arabic language retains its importance in this field. It is so because of …

Source code summarization aims to generate concise descriptions for code snippets in a
natural language, thereby facilitates program comprehension and software maintenance. In …

Online medical services have become increasingly popular, and patient feedback can
significantly influence other patients' medical decision-making. This study utilizes a double …

The evolutions of the World Wide Web (WWW) has witnessed proliferation of data and boom
in technologies for extracting information out of the big data for marketing strategy and adds …

Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …