Multi-topic sentiment analysis, which aims to identify the topics and classify their
corresponding sentiment, is of great value in understanding consumers' behaviour and …

Sentiment analysis has the potential to significantly impact several fields, such as trade,
politics, and opinion extraction. Topic modeling is an intriguing concept used in emotion …

In recent years, vocabulary emotion processing has become immensely popular and the
requirements for language emotion analysis mining and processing have become …

Abstract The Net Promoter Score (NPS) is a widely-used metric for measuring customer
loyalty and is an essential element in customer service analysis. To understand and analyze …

Although the identification of topics and sentiments from social media content has attracted
substantial research, little work has been carried out on the extraction of causal relationships …

In the present day, online users are incentivized to engage in short text-based
communication. These short texts harbor a significant amount of implicit information …

Based on the records of people's political inquiries, comments from public sources on the
Internet and the data of the relevant departments' responses to some people's messages …

Recent work suggests knowledge sources can be added into the topic modeling process to
label topics and improve topic discovery. The knowledge sources typically consist of a …

The world is overflowing with text. This ever-growing resource has the ability to capture
thoughts, ideas, and understandings. One example is the scientific research paper which …