Social media mining is an important process to extract beneficial information from social
media. Classification is a major task for this process while it is so difficult to deal with vast …

On social media, there is a lot of information that can be used for further analysis, such as
text data, including posts, comments, and reviews. The data has unstructured properties …

With the development of the internet technology, kinds of short text information are growing
explosively. Information explosion has become an urgent problem. To find the target …

The “timely” and “timeless” concepts are essential content marketing strategies currently
applied in the industry. Timely is applied for the purpose of making viral content, whereas …

Social annotation is a form of folksonomy, which allows Web users to categorize Web
resource with text tags freely. It usually implicates fundamental and valuable semantic …

This paper describes our proposed framework for the 10 text classification tasks of Task 1a,
2a, 2b, 3a, 4, 5, 6, 7, 8, and 9, in the Social Media Mining for Health (SMM4H) 2022 …

With the continuous development of the Internet, social media based on short text has
become popular. However, the sparsity and shortness of essays will restrict the accuracy of …

The ever-growing volume of data of user-generated content on social media provides a
nearly unlimited corpus of unlabeled data even in languages where resources are scarce. In …

According to the brief and meaningless features of the social media content, we propose a
text classification algorithm based on word vectors, which can quickly and effectively realize …

Text classification is a process of locating text documents automatically into categories
based on the text content. In-text classification, there is a stage that has an important role in …