Who Cited It

BoosTexter: A Boosting-based System for Text Categorization

2000 · Machine Learning · 2,200 citations · 16 from inside this corpus

Robert E. Schapire, Yoram Singer

No abstract in the source record.

BoosTexter: A Boosting-based System for Text Categorization (2000)BoosTexter: A Boosting-based …Experiments with a new boosting algorithm (1996)Experiments with a new boosti…Fast Effective Rule Induction (1995)Fast Effective Rule InductionImproved boosting algorithms using confidence-rated predictions (1998)Improved boosting algorithms …Boosting the margin: a new explanation for the effectiveness of voting methods (1998)The SMART Retrieval System—Experiments in Automatic Document Processing (1971)The SMART Retrieval System—Ex…An Evaluation of Statistical Approaches to Text Categorization (1999)An Evaluation of Statistical …Machine learning in automated text categorization (2002)Machine learning in automated…ML-KNN: A lazy learning approach to multi-label learning (2007)ML-KNN: A lazy learning appro…Recognizing contextual polarity in phrase-level sentiment analysis (2005)Recognizing contextual polari…A Review on Multi-Label Learning Algorithms (2013)A Review on Multi-Label Learn…Sentiment Analysis and Opinion Mining (2017)Sentiment Analysis and Opinio…Sentiment Analysis and Opinion Mining (2012)Sentiment Analysis and Opinio…A Short Introduction to Boosting (1999)A Short Introduction to Boost…Multi-Label Classification (2007)Multi-Label ClassificationClassifier chains for multi-label classification (2011)Classifier chains for multi-l…Seeing stars (2005)Seeing starsThe Boosting Approach to Machine Learning: An Overview (2003)The Boosting Approach to Mach…Large Margin Methods for Structured and Interdependent Output Variables (2005)Large Margin Methods for Stru…The text mining handbook: advanced approaches in analyzing unstructured data (2007)The text mining handbook: adv…Sentiment strength detection in short informal text (2010)Sentiment strength detection …Online Passive-Aggressive Algorithms (2006)Online Passive-Aggressive Alg…Mining Multi-label Data (2009)Mining Multi-label Data
22 of 22 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
Experiments with a new boosting algorithm19967,582
Fast Effective Rule Induction19953,810
Improved boosting algorithms using confidence-rated predictions19982,573
Boosting the margin: a new explanation for the effectiveness of voting methods19982,344
The SMART Retrieval System—Experiments in Automatic Document Processing19712,276
An Evaluation of Statistical Approaches to Text Categorization19991,963

What cites it, inside the corpus

PaperYearCited
Machine learning in automated text categorization20027,945
ML-KNN: A lazy learning approach to multi-label learning20073,587
Recognizing contextual polarity in phrase-level sentiment analysis20053,383
A Review on Multi-Label Learning Algorithms20133,375
Sentiment Analysis and Opinion Mining20173,331
Sentiment Analysis and Opinion Mining20123,289
A Short Introduction to Boosting19992,952
Multi-Label Classification20072,518
Classifier chains for multi-label classification20112,307
Seeing stars20052,164
The Boosting Approach to Machine Learning: An Overview20032,023
Large Margin Methods for Structured and Interdependent Output Variables20051,957
The text mining handbook: advanced approaches in analyzing unstructured data20071,626
Sentiment strength detection in short informal text20101,457
Online Passive-Aggressive Algorithms20061,453
Mining Multi-label Data20091,410

Links

DOI · Open access copy · OpenAlex record

Topics

Text and Document Classification TechnologiesComputer Science
Natural Language Processing TechniquesComputer Science
Speech and dialogue systemsComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports2 author record(s) attached.
  • supports53 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 2026-09-04T03:58:50+00:00.

sha256 86a6d6715ff540a0…