Taylor II, 2007
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| Firoozeh et al. | Keyword extraction: Issues and methods | |
| Allahyari et al. | A brief survey of text mining: Classification, clustering and extraction techniques | |
| Kashyap et al. | TaxaMiner: an experimentation framework for automated taxonomy bootstrapping | |
| US10509814B2 (en) | System and method for the indexing and retrieval of semantically annotated data using an ontology-based information retrieval model | |
| Tiun et al. | Automatic topic identification using ontology hierarchy | |
| Reforgiato Recupero | A new unsupervised method for document clustering by using WordNet lexical and conceptual relations | |
| Chuang et al. | Taxonomy generation for text segments: A practical web-based approach | |
| Wang et al. | Concept forest: A new ontology-assisted text document similarity measurement method | |
| Patil et al. | A novel feature selection based on information gain using WordNet | |
| Kozlowski et al. | Clustering of semantically enriched short texts | |
| Tagarelli et al. | Toward semantic XML clustering | |
| Devi et al. | A hybrid document features extraction with clustering based classification framework on large document sets | |
| Huang et al. | Cross-lingual document representation and semantic similarity measure: A fuzzy set and rough set based approach | |
| Nasution et al. | Semantic information retrieval models | |
| Campos et al. | WISE: hierarchical soft clustering of web page search results based on web content mining techniques | |
| Cao et al. | Analysis of complex network methods for extractive automatic text summarization | |
| Asa et al. | A comprehensive survey on extractive text summarization techniques | |
| Geiß | Latent semantic sentence clustering for multi-document summarization | |
| Taylor II | A comparative study on ontology generation and text clustering using VSM, LSI, and document ontology models | |
| Patil et al. | A Semantic approach for effective document clustering using WordNet | |
| Granada et al. | Evaluating the complementarity of taxonomic relation extraction methods across different languages | |
| Wang | Incorporating semantic and syntactic information into document representation for document clustering | |
| Fan et al. | Exploring evolutionary technical trends from academic research papers | |
| Takhirov et al. | An evidence-based verification approach to extract entities and relations for knowledge base population | |
| Kozłowski | Word sense discovery using frequent termsets |