Significance of HTML Tags for Document Indexing and Retrieval | Semantic Scholar
Term Weighting Approaches in Automatic Text Retrieval
Text Analytics for Dummies 2010
Effects of central tendency measures on term weighting in textual information retrieval | SpringerLink
Term-weighting approaches in automatic text retrieval - ScienceDirect
Information Retrieval: CHAPTER 14: RANKING ALGORITHMS
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PDF] New Term Weighting Formulas for the Vector Space Method in Information Retrieval | Semantic Scholar
Electronics | Free Full-Text | TF-TDA: A Novel Supervised Term Weighting Scheme for Sentiment Analysis
PPT – Term Weighting in Information Retrieval PowerPoint presentation | free to view - id: 1e90e2-ZDc1Z
PDF) A probabilistic justification for using tf�idf term weighting in information retrieval
Electronics | Free Full-Text | TF-TDA: A Novel Supervised Term Weighting Scheme for Sentiment Analysis
Text Analytics Overview, 2011
Electronics | Free Full-Text | TF-TDA: A Novel Supervised Term Weighting Scheme for Sentiment Analysis
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PDF] Term-Weighting Approaches in Automatic Text Retrieval | Semantic Scholar
Term Weighting approaches in automatic text retrieval. Presented by Ehsan. - ppt download
PDF) Developing A New Term Weighting Schema Through Text-Document Analysis and Natural Language Processing NLP
A RE-UNIFICATION OF TWO COMPETING MODELS FOR DOCUMENT RETRIEVAL David Bodoff Department of Information Systems Leonard N. Stem S
Information Retrieval
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PDF] An improvement of TFIDF weighting in text categorization | Semantic Scholar
Term Weighting approaches in automatic text retrieval. Presented by Ehsan. - ppt download
Text Classification Using Novel Term Weighting Scheme-Based Improved TF-IDF for Internet Media Reports
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PDF] Term-Weighting Approaches in Automatic Text Retrieval | Semantic Scholar
PDF) A Flexible Supervised Term-Weighting Technique and its Application to Variable Extraction and Information Retrieval
The Vector Space Model in Information Retrieval-Term Weighting Problem | Semantic Scholar
I think this quote fairly summaries Luhn's contribution to automatic text analysis. His assumption is that frequency data can be used to extract words and sentences to represent a document.
Information | Free Full-Text | A Framework for Word Embedding Based Automatic Text Summarization and Evaluation
![PDF] Term-Weighting Approaches in Automatic Text Retrieval | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/e50a316f97c9a405aa000d883a633bd5707f1a34/6-Table1-1.png "PDF] Term-Weighting Approaches in Automatic Text Retrieval | Semantic Scholar")