Sentiment Analysis (SA) helps to automatically and meaningfully discover hotel customers'
satisfaction from their shared experiences and feelings on social media. Several studies …

Log anomaly detection is an efficient method to manage modern large-scale Internet of
Things (IoT) systems. More and more works start to apply natural language processing …

Sentiment Analysis is an important research direction of natural language processing, and it
is widely used in politics, news and other fields. Word embeddings play a significant role in …

Natural hazard named entity recognition is a technique used to recognize natural hazard
entities from a large number of texts. The method of natural hazard named entity recognition …

The combination of the topic model and the semantic method can help to discover the
semantic distributions of topics and the changing characteristics of the semantic …

Opinion mining or analysis of text are other terms for sentiment analysis. The fundamental
objective is to extract meaningful information and data from unstructured text using natural …

The Lanzhou‐Xinjiang (Lan‐Xin) high‐speed railway is one of the principal sections of the
railway network in western China, and signal equipment is of great importance in ensuring …

Text Classification (TC) is the process of assigning several different categories to a set of
texts. This study aims to evaluate the state of the arts of TC studies. Firstly, TC-related …

Context Documented goals-of-care discussions are an important quality metric for patients
with serious illness. Natural language processing (NLP) is a promising approach for …

Sundanese is the second-largest tribe in Indonesia which possesses many dialects. This
condition has gained attention for many researchers to analyze emotion especially on social …