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Understanding and making use of audience feedback is important but difficult for journalists, who now face an impractically large volume of audience comments online. We introduce AudienceView, an online tool to help journalists categorize and interpret ...

Words often carry different meanings for people from diverse backgrounds. Today's era of social polarization demands that we choose words carefully to prevent miscommunication, especially in political communication and journalism. To address this issue, ...

Objective: By analyzing the literature related to technological innovation, the main direction of Chinese technological innovation research is clarified, and the current research hot spots are grasped. Methods: With CNKI as the data source, technological ...

Large Language Models (LLMs) have enabled new ways to satisfy information needs. Although great strides have been made in applying them to settings like document ranking and short-form text generation, they still struggle to compose complete, accurate, ...

This paper introduces a newly developed service called MINE. The service assists Digital Humanities scientists in solving two problems: data acquisition and text analysis on a large scale. MINE consists of two main components: a search engine and a ...

Textual knowledge extraction and visual analysis technology bring new technical methodology to traditional qualitative research in the historical domain. However, there is still some difficulty impeding the semantic understanding and presentation for ...

• Two categories of live chatsocial interactions including transaction-oriented and relationship-oriented are uncovered in live-streaming commerce.
• There exists a curvilinear association of relationship-oriented social interaction and ...

The popularity of live streaming is driving the emergence of a new business model, known as live streaming commerce (LSC). The live chat service serves as a key indicator of viewer engagement in LSC shows, differentiating LSC significantly from ...

The utilization of Issue Tracking Systems by users to systematically manage and monitor issue reports within their repositories has become indispensable. An issue report encapsulates a wealth of software-related information, encompassing problem ...

The World Wide Web provides unrivalled access to information globally, including factual news reporting and commentary. However, state actors and commercial players increasingly spread biased (distorted) or fake (non-factual) information to ...

Advances in Deep Learning have drastically improved the abilities of Natural Language Processing (NLP) research, creating new state‐of‐the‐art benchmarks. Two research streams at the forefront of NLP analysis are transformer architecture and ...

Named Entity Recognition (NER) is an essential task in Natural Language Processing (NLP), and deep learning-based models have shown outstanding performance. However, the effectiveness of deep learning models in NER relies heavily on the quality and ...

With the widespread adoption of social media, text matching tasks have gained a prominent role in the field of natural language processing. However, traditional text matching methods often overly rely on shallow features and do not adequately consider ...

Although the rate of invention by firms and the effect on firm performance have been central themes in economics and strategy, the position and differentiation of invention by firms have received less attention. We develop a method to characterize a firm’...

Effective issue triaging is crucial for software development teams to improve software quality, and thus customer satisfaction. Validating issue reports manually can be time-consuming, hindering the overall efficiency of the triaging process. This paper ...

Students from Digital humanities frequently face big challenges while they learn technically-based topics as text analysis due they never had practiced programming before. In this paper, we introduce an approach to facilitate teachers to teach ...

Students’ evaluation of courses is a direct reflection of students’ satisfaction and sense of gain from the course. It is also the basis for teachers to understand students' needs, care about students' emotions, improve teaching methods, and improve ...

Analyzing open-ended survey responses is a crucial yet challenging task for social scientists, non-profit organizations, and educational institutions, as they often face the trade-off between obtaining rich data and the burden of reading and coding ...

This paper considers the problem of the generation of descriptors to reduce data volumes, text data resources, and search times through the use of the new factors of authorship, region, emotive meaning, and popularity, as well as a text category ...

The applications of machine learning and artificial intelligence methods in the natural language processing of court decisions have become an important research topic worldwide. In this paper, we review our datasets and recent results in the field ...

Two years of the COVID-19 Pandemic, countries across the world have started the process of vaccination in two-step doses. WHO stated that six months after the second dose injection, the effectiveness of the EUL (emergency use listing) vaccines has ...