Unsupervised Text Summarization Extraction Method Based on Topic Aware Weights

A Cognitive-Inspired Scanning Framework for Topic Modeling and Document Classification

As digital textual data continues to grow exponentially, it becomes progressively harder to extract information from large collections of documents. Traditional full-text analysis methods often require substantial time and computational resources. This challenge is particularly relevant for massive corpora where import...

Automatic Text Summarization of Indonesian Text with Contextual Top2Vec

An Efficient Extractive Summarization Framework Using TF-IDF, Centroid Scoring, and Dynamic Semantic Redundancy Control

Automatic text summarization has become an essential Natural Language Processing tasks for dealing with the escalating amount of information available in textual formats digitally. Extractive summarization algorithms have been extensively used due to their efficiency and explainability, yet the existing models suffer f...

Automatic News Headline Generation and Topic Consistency Assessment Based on SimCSE and Knowledge Graph

A method that fuses SimCSE semantic constraints with knowledge graph entity associations, paying particular attention to key entities related to names of people, organizations, locations, and fields is proposed, effectively addressing the issues of insufficient semantic alignment and topic drift.

Sentiment-guided semantic ranking framework for aspect-aware product review summarization

The proposed SA-RMMR framework represents an efficient and interpretable approach to customer review summarization that takes into account not only semantic relevance but also product aspects, sentiment preservation, and redundant information filtering.

A semantic modeling-based NLP approach to sentiment analysis of film and television reviews

Data experiments and kernel density distribution analysis confirm that this architecture maintains low computational inference latency while ensuring effective feature extraction, providing a feasible engineering algorithm reference architecture for sentiment analysis of unstructured user review texts.