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This paper studies lessons learned from Covid-19 disaster management in Malaysia using machine learning techniques. First, we crawl Twitter data related to ‘covid’ with geo-location bounding-box. Then we contribute to propose LDA topics generated ...

Pangolins are the most heavily trafficked species in the world. Despite this, they remain relatively unknown compared to other species also at risk from over-exploitation. Public awareness of the species is essential for developing successful ...

This study aims to gain insights into the basic information and behavioral characteristics of the drug abusers and provide references for drug prevention, control, and correctional strategies. First, the python development tool was used to crawl ...

Communities have first-hand knowledge about community issues. This study aims to improve the efficiency of social-technical problem-solving by proposing the concept of "artificial process intelligence," based on the theories of socio-technical decision-...

Latent Dirichlet Allocation (LDA) is a popular machine-learning technique that identifies latent structures in a corpus of documents. This paper addresses the ongoing concern that formal procedures for determining the optimal LDA configuration do not ...

Topic modeling is a well-known task in unsupervised machine learning, where clustering algorithms are used to find latent topics. Several algorithms are presented in the literature, but the best known of them suffer from the drawback of requiring a lot ...

We are not able to deal with a mammoth text corpus without summarizing them into a relatively small subset. A computational tool is extremely needed to understand such a gigantic pool of text. Probabilistic Topic Modeling discovers and explains the ...

Many novice programmers visit Stack Overflow for purposes that include posing questions and finding answers for issues they come across in the process of programming. Many questions have more than one correct answer on Stack Overflow, which are ...

Most of the existing recommender systems are based only on the rating data, and they ignore other sources of information that might increase the quality of recommendations, such as textual reviews, or user and item characteristics. Moreover, the ...

Due to the COVID-19 pandemic, countries across the globe has enforced lockdown restrictions that influence the people’s socio-economic lifecycle. The objective of this paper is to predict the communal emotion of people from different locations during the ...

Instagram is one of the most used social media with 45 million active users on each month. In Indonesia, the highest number of internet users is between the age of 13-34 years old. It shows that most of the new internet users are young people. In this ...

Twitter has become an important tool for communication and marketing. Topic model algorithms meant to characterize the discourse of online conversations and identify relevant audiences do not perform well for this task, despite their widespread usage. ...

Online health communities (OHCs) provide a popular channel for users to seek information, suggestions and support during their medical treatment and recovery processes. To help users find relevant information easily, we present CLIR, an effective system ...

Context: The vast majority of software engineering research is reported independently of the application domain: techniques and tools usage is reported without any domain context. As reported in previous research, this has not always been so: early in ...

In this paper, we present a new topic variation detection method that combines a topic extraction method with a change point detection method. It extracts topics from time-series text data as the feature of each time and detects change points from the ...

Knowing the main discussion topics debated by the general public is a valuable asset to politicians and professionals involved with politics. Lately, alternative media websites became popular venues in which political ideas are debated without the ...

The web has become a large knowledge provider for society, allowing people to not just consume information but also produce it. Collaborative documents bring some significant advantages and decentralization, but they also raise questions concerning its ...

The term 'software ecosystem' refers to a collection of software systems that are related in some way. Researchers have been using different levels of aggregation to define an ecosystem: grouping them by a common named project (e.g., the Apache ...

Latent Dirichlet allocation (LDA) models trained without stopword removal often produce topics with high posterior probabilities on uninformative words, obscuring the underlying corpus content. Even when canonical stopwords are manually removed, ...

Cryptocurrency is one of the burning issues across the world in the modern era. Literature shows that business analysts always tend to use new technologies and investigate their risks. Some researchers predicted the price fluctuations and investigated ...