Fuzzy Typing for Document Management
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Summary
This prototype system demonstrates a novel method of document analysis and management, based on a combination of techniques from NLP and fuzzy logic, which is referred to as semantic typing.
- Type
- article
- Published
- 2000-01-01
- Cited by
- 56
- References
- 11
- OpenAlex
- https://openalex.org/W123043039
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:59649955
Keywords
Fuzzy logic, Computer science, Natural language processing, Artificial intelligence, Typing
References
- Weighted fuzzy pattern matching
- Similarity relations and fuzzy orderings
- Features of Similarity
- Measures of similarity among fuzzy concepts: A comparative analysis
- Lexical ambiguity and information retrieval
- Contextual correlates of semantic similarity
- Affect analysis of text using fuzzy semantic typing
- Affective Computing
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- Automatic Judgment of the Subjectivity and Objectivity of the Chinese Words
- Temporal Opinion Mining
- A computational approach to the analysis and generation of emotion in text
- Sentiment Extraction from Unstructured Text using Tabu Search-Enhanced Markov Blanket
- Transfer Learning for Emotional Polarity Classification
- Sentiment classification of Internet restaurant reviews written in Cantonese
- Sentiment Classification Based on Syntax Tree Pruning and Tree Kernel
- A fuzzy decision support method for customer preferences analysis based on Choquet Integral
- Sentiment-based text segmentation
- Sentiment Polarity Classification Using Statistical Data Compression Models
- Proximity-based sentiment analysis
- Opinion Mining and Sentiment Analysis
- Predicting consumer sentiments from online text
- Sentiment mining in WebFountain
- Review Classification Using Semantic Features and Run-Time Weighting
- Using Social Media Content to Inform Agent-based Models for Humanitarian Crisis Response
- Kernel-based Sentiment Classification for Chinese Sentence
- EMOTAG: AN APPROACH TO AUTOMATED MARKUP OF EMOTIONS IN TEXTS
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