Who Cited It

The text mining handbook: advanced approaches in analyzing unstructured data

2007 · Choice Reviews Online · 1,626 citations · 1 from inside this corpus

No author records on this work.

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

The text mining handbook: advanced approaches in analyzing unstructured data (2007)The text mining handbook: adv…The Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Latent dirichlet allocation (2003)Latent dirichlet allocationA tutorial on hidden Markov models and selected applications in speech recognition (1989)A tutorial on hidden Markov m…Data clustering (1999)Data clusteringConditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (2001)Conditional Random Fields: Pr…Indexing by latent semantic analysis (1990)Indexing by latent semantic a…WordNet: An electronic lexical database . Ed. by Christiane Fellbaum. Cambridge, MA: MIT … (2000)WordNet: An electronic lexica…Modern Information Retrieval (1999)Modern Information RetrievalSelf-Organizing Maps (1995)Self-Organizing MapsFoundations of statistical natural language processing (1999)Foundations of statistical na…Text categorization with Support Vector Machines: Learning with many relevant features (1998)Text categorization with Supp…Machine learning in automated text categorization (2002)Machine learning in automated…Algorithms for Clustering Data (1990)Algorithms for Clustering DataBuilding a Large Annotated Corpus of English: The Penn Treebank (1993)Building a Large Annotated Co…Combining labeled and unlabeled data with co-training (1998)Combining labeled and unlabel…Introductory digital image processing: A remote sensing perspective (1987)Introductory digital image pr…An introduction to latent semantic analysis (1998)An introduction to latent sem…An introduction to hidden Markov models (1986)An introduction to hidden Mar…A Comparative Study on Feature Selection in Text Categorization (1997)A Comparative Study on Featur…On the Optimality of the Simple Bayesian Classifier under Zero-One Loss (1997)On the Optimality of the Simp…Text Classification from Labeled and Unlabeled Documents using EM (2000)Text Classification from Labe…Transductive Inference for Text Classification using Support Vector Machines (1999)Transductive Inference for Te…A re-examination of text categorization methods (1999)A re-examination of text cate…Thumbs up? Sentiment Classification using Machine Learning Techniques (2002)Thumbs up? Sentiment Classifi…BoosTexter: A Boosting-based System for Text Categorization (2000)BoosTexter: A Boosting-based …Data Structures and Algorithms (2003)Data Structures and AlgorithmsNaive (Bayes) at forty: The independence assumption in information retrieval (1998)Naive (Bayes) at forty: The i…An Evaluation of Statistical Approaches to Text Categorization (1999)An Evaluation of Statistical …A Translation Approach to Portable Ontologies (1993)A Translation Approach to Por…A sequential algorithm for training text classifiers (1994)A sequential algorithm for tr…Automatic text processing (1988)Automatic text processingTransformation-based error-driven learning and natural language processing: a case study … (1995)Support vector machines for spam categorization (1999)Support vector machines for s…Learning to Classify Text Using Support Vector Machines (2002)Learning to Classify Text Usi…Natural Language Processing with Python (2009)Natural Language Processing w…
35 of 35 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
The Nature of Statistical Learning Theory199539,409
Latent dirichlet allocation200327,078
A tutorial on hidden Markov models and selected applications in speech recognition198922,910
Data clustering199913,263
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data200112,994
Indexing by latent semantic analysis199012,850
WordNet: An electronic lexical database . Ed. by Christiane Fellbaum. Cambridge, MA: MIT …200011,687
Modern Information Retrieval199911,572
Self-Organizing Maps199510,390
Foundations of statistical natural language processing19999,997
Text categorization with Support Vector Machines: Learning with many relevant features19988,044
Machine learning in automated text categorization20027,945
Algorithms for Clustering Data19907,849
Building a Large Annotated Corpus of English: The Penn Treebank19937,538
Combining labeled and unlabeled data with co-training19985,631
Introductory digital image processing: A remote sensing perspective19875,067
An introduction to latent semantic analysis19984,895
An introduction to hidden Markov models19864,812
A Comparative Study on Feature Selection in Text Categorization19974,770
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss19973,099
Text Classification from Labeled and Unlabeled Documents using EM20002,753
Transductive Inference for Text Classification using Support Vector Machines19992,721
A re-examination of text categorization methods19992,664
Thumbs up? Sentiment Classification using Machine Learning Techniques20022,215
BoosTexter: A Boosting-based System for Text Categorization20002,200
Data Structures and Algorithms20032,138
Naive (Bayes) at forty: The independence assumption in information retrieval19982,114
An Evaluation of Statistical Approaches to Text Categorization19991,963
A Translation Approach to Portable Ontologies19931,807
A sequential algorithm for training text classifiers19941,806
Automatic text processing19881,583
Transformation-based error-driven learning and natural language processing: a case study …19951,535
Support vector machines for spam categorization19991,480
Learning to Classify Text Using Support Vector Machines20021,377

What cites it, inside the corpus

PaperYearCited
Natural Language Processing with Python20093,451

Links

DOI · OpenAlex record

Topics

Advanced Text Analysis TechniquesComputer Science
Data Mining Algorithms and ApplicationsComputer Science
Data Management and AlgorithmsComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
  • supports531 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:56+00:00.

sha256 7bc26169e93749d1…