专题：Advanced Text Analysis Techniques

This cluster of papers focuses on the automatic extraction of keywords from textual data using various techniques such as graph-based methods, unsupervised approaches, and neural networks. The research explores the application of linguistic knowledge and statistical information to improve the accuracy of keyword extraction from documents.
最新文献
Towards 360 Degree Approaches to Hypothesis Formulation and Evaluation: Another Epochal Milestone in Twenty-First Century Science

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Topic models for decision-support systems. Part I: Training, representation and exploitation of topic models

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Experimental demonstration of logical magic state distillation

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A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages

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Tracing science-technology-linkages: A machine learning pipeline for extracting and matching patent in-text references to scientific publications

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From Codebooks to Promptbooks: Extracting Information from Text with Generative Large Language Models

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English-Arabic Hybrid Semantic Text Chunking Based on Fine-Tuning BERT

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EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses

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Automation of Systematic Reviews with Large Language Models

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Unveiling key drivers of purchase intentions in virtual communities: an interval pythagorean fuzzy DEMATEL-ISM approach

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近5年高被引文献
Twitter Sentiment Analysis: The Good the Bad and the OMG!

article Full Text OpenAlex 1233 FWCI23.866

Schematic Bases of Social Information Processing

book-chapter Full Text OpenAlex 934 FWCI40.541

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

preprint Full Text OpenAlex 861 FWCI0

A survey on sentiment analysis methods, applications, and challenges

article Full Text OpenAlex 818 FWCI106.11

Understanding the Demographics of Twitter Users

article Full Text OpenAlex 773 FWCI18.938

Abstractive Text Summarization Using GAN

article Full Text OpenAlex 736 FWCI507.318

Event Detection in Twitter

article Full Text OpenAlex 718 FWCI9.519

A comprehensive survey on sentiment analysis: Approaches, challenges and trends

article Full Text OpenAlex 688 FWCI67.158

A review on sentiment analysis and emotion detection from text

review Full Text OpenAlex 557 FWCI11.199

A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts

article Full Text OpenAlex 528 FWCI438.28