24.1.15.4 Text only Analysis

Chapter Contents (Back)
Text Analysis.

Özgür, L.[Levent], Güngör, T.[Tunga], Gürgen, F.S.[Fikret S.],
Adaptive anti-spam filtering for agglutinative languages: A special case for Turkish,
PRL(25), No. 16, December 2004, pp. 1819-1831.
Elsevier DOI 0411
BibRef

Padmanabhan, D.[Deepak], Kummamuru, K.[Krishna],
Mining conversational text for procedures with applications in contact centers,
IJDAR(10), No. 3-4, December 2007, pp. 227-238.
Springer DOI 0712
BibRef

Ciltik, A.[Ali], Gungor, T.[Tunga],
Time-efficient spam e-mail filtering using n-gram models,
PRL(29), No. 1, 1 January 2008, pp. 19-33.
Elsevier DOI 0711
Spam filtering; n-Gram model; Heuristics; Agglutinative language; Free word order; Morphology; Turkish BibRef

Ko, Y.J.[Young-Joong], Seo, J.Y.[Jung-Yun],
An effective sentence-extraction technique using contextual information and statistical approaches for text summarization,
PRL(29), No. 9, 1 July 2008, pp. 1366-1371.
Elsevier DOI 0711
Text summarization; Sentence-extraction; Statistical approaches; Single- and multi-document summarization BibRef

Dey, L.[Lipika], Haque, S.M.[Sk. Mirajul],
Opinion mining from noisy text data,
IJDAR(12), No. 3, September 2009, pp. xx-yy.
Springer DOI 0911
BibRef

Youn, E.[Eunseog], Jeong, M.K.[Myong K.],
Class dependent feature scaling method using naive Bayes classifier for text datamining,
PRL(30), No. 5, 1 April 2009, pp. 477-485.
Elsevier DOI 0903
Classification; Feature selection; Naive Bayes classifier; Recursive feature elimination BibRef

Altincay, H.[Hakan], Erenel, Z.[Zafer],
Analytical evaluation of term weighting schemes for text categorization,
PRL(31), No. 11, 1 August 2010, pp. 1310-1323.
Elsevier DOI 1008
Contour lines; Term occurrence probability; Term weighting; Relative weights; Text categorization BibRef

Chen, L.F.[Li-Fei], Guo, G.D.[Gong-De], Wang, K.J.[Kai-Jun],
Class-dependent projection based method for text categorization,
PRL(32), No. 10, 15 July 2011, pp. 1493-1501.
Elsevier DOI 1106
Text categorization; Classification; Projection; Class-dependence; Feature weighting BibRef

Ozgur, L.[Levent], Gungor, T.[Tunga],
Text classification with the support of pruned dependency patterns,
PRL(31), No. 12, 1 September 2010, pp. 1598-1607.
Elsevier DOI 1008
Text classification; Lexical dependency; Pruning analysis; Reuters-21578 BibRef

Brucker, F.[Florian], Benites, F.[Fernando], Sapozhnikova, E.[Elena],
Multi-label classification and extracting predicted class hierarchies,
PR(44), No. 3, March 2011, pp. 724-738.
Elsevier DOI 1011
Multi-label classification; Hierarchy extraction; Text mining; Adaptive resonance theory (ART) BibRef

Seon, C.N.[Choong-Nyoung], Kim, H.[Harksoo], Seo, J.Y.[Jung-Yun],
Efficient appointment information extraction from short messages in mobile devices with limited hardware resources,
PRL(32), No. 2, 15 January 2011, pp. 127-133.
Elsevier DOI 1101
Appointment information extraction; A modified HMM; Mobile environment BibRef

Nie, L., Wang, M., Gao, Y., Zha, Z.J., Chua, T.S.,
Beyond Text QA: Multimedia Answer Generation by Harvesting Web Information,
MultMed(15), No. 2, 2013, pp. 426-441.
IEEE DOI 1302
BibRef

Li, Z.X.[Zhi-Xing], Xiong, Z.Y.[Zhong-Yang], Zhang, Y.F.[Yu-Fang], Liu, C.Y.[Chun-Yong], Li, K.[Kuan],
Fast text categorization using concise semantic analysis,
PRL(32), No. 3, 1 February 2011, pp. 441-448.
Elsevier DOI 1101
Text representation; Semantic analysis; Text categorization; Dimensionality reduction BibRef

Miao, Y.Q.[Yun-Qian], Kamel, M.[Mohamed],
Pairwise optimized Rocchio algorithm for text categorization,
PRL(32), No. 2, 15 January 2011, pp. 375-382.
Elsevier DOI 1101
Text categorization; Rocchio algorithm; Parameter optimization BibRef

Sohn, D.N.[Dae-Neung], Lee, J.T.[Jung-Tae], Han, K.S.[Kyoung-Soo], Rim, H.C.[Hae-Chang],
Content-based mobile spam classification using stylistically motivated features,
PRL(33), No. 3, 1 February 2012, pp. 364-369.
Elsevier DOI 1201
Mobile spam classification; Text messaging service; Stylistic features BibRef

DeBarr, D.[Dave], Wechsler, H.[Harry],
Spam detection using Random Boost,
PRL(33), No. 10, 15 July 2012, pp. 1237-1244.
Elsevier DOI 1205
Spam detection; Robust learning; Random Boost; Random projection; Logit Boost; Random Forest BibRef

Liu, X.Y.[Xin-Yue], Wang, Y.[You], Zhu, S.P.[Shao-Ping], Lin, H.F.[Hong-Fei],
Combating Web spam through trust-distrust propagation with confidence,
PRL(34), No. 13, 2013, pp. 1462-1469.
Elsevier DOI 1308
Web spam BibRef

Pinto, D.[David], Gómez-Adorno, H.[Helena], Vilariño, D.[Darnes], Singh, V.K.[Vivek Kumar],
A graph-based multi-level linguistic representation for document understanding,
PRL(41), No. 1, 2014, pp. 93-102.
Elsevier DOI 1403
Text mining BibRef

Xu, C.F.[Cong-Fu], Su, B.J.[Bao-Jun], Cheng, Y.B.[Yun-Biao], Pan, W.[Weike], Chen, L.[Li],
An Adaptive Fusion Algorithm for Spam Detection,
IEEE_Int_Sys(29), No. 4, July 2014, pp. 2-8.
IEEE DOI 1411
content-based retrieval BibRef

Jayashree, R., Srikantamurthy, K., Anami, B.S.[Basavaraj S.],
Sentence level text classification in the Kannada language: A classifier's perspective,
IJCVR(5), No. 3, 2015, pp. 254-270.
DOI Link 1509
BibRef

Liu, C., Hsaio, W., Lee, C., Chang, T., Kuo, T.,
Semi-Supervised Text Classification With Universum Learning,
Cyber(46), No. 2, February 2016, pp. 462-473.
IEEE DOI 1601
Algorithm design and analysis BibRef

Li, M.[Mei], Pan, S.[Shirui], Zhang, Y.[Yang], Cai, X.Y.[Xiao-Yan],
Classifying networked text data with positive and unlabeled examples,
PRL(77), No. 1, 2016, pp. 1-7.
Elsevier DOI 1606
PU learning BibRef

Li, W., Joo, J., Qi, H., Zhu, S.C.,
Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph,
MultMed(19), No. 2, February 2017, pp. 367-381.
IEEE DOI 1702
context-sensitive grammars BibRef

de Paulo Faleiros, T.[Thiago], Rossi, R.G.[Rafael Geraldeli], de Andrade Lopes, A.[Alneu],
Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs,
PRL(87), No. 1, 2017, pp. 127-138.
Elsevier DOI 1703
Text classification BibRef

Xiang, Y., Chen, Q., Wang, X., Qin, Y.,
Answer Selection in Community Question Answering via Attentive Neural Networks,
SPLetters(24), No. 4, April 2017, pp. 505-509.
IEEE DOI 1704
Computer architecture BibRef

Razavi, M.[Marzieh], Magimai-Doss, M.[Mathew],
A Posterior-Based Multistream Formulation for G2P Conversion,
SPLetters(24), No. 4, April 2017, pp. 475-479.
IEEE DOI 1704
grapheme-to-phoneme. decoding BibRef

Nogueira, T.C., Ferreira, D.J., Carvalho, S.T., Berreta, L.O.,
Evaluating Responsive Web Design's Impact on Blind Users,
MultMedMag(24), No. 2, April 2017, pp. 86-95.
IEEE DOI 1705
Education, Guidelines, Internet and Web services, Market research, Medical services, Software engineering, Usability, Web design, HCI design and evaluation methods, Internet/Web technologies, accessibility, blind user, healthcare, mobile, multimedia, software engineering, usability, user, experience BibRef

Chen, C.H.[Chien-Hsing],
Improved TFIDF in big news retrieval: An empirical study,
PRL(93), No. 1, 2017, pp. 113-122.
Elsevier DOI 1706
Big news BibRef

Capdevila, J.[Joan], Cerquides, J.[Jesús], Nin, J.[Jordi], Torres, J.[Jordi],
Tweet-SCAN: An event discovery technique for geo-located tweets,
PRL(93), No. 1, 2017, pp. 58-68.
Elsevier DOI 1706
Twitter BibRef

Costa, J.[Joana], Silva, C.[Catarina], Antunes, M.[Mário], Ribeiro, B.[Bernardete],
Performance Metrics for Model Fusion in Twitter Data Drifts,
IbPRIA17(13-21).
Springer DOI 1706
BibRef

Kordopatis-Zilos, G., Papadopoulos, S., Kompatsiaris, I.,
Geotagging Text Content With Language Models and Feature Mining,
PIEEE(105), No. 10, October 2017, pp. 1971-1986.
IEEE DOI 1710
data mining, feature extraction, geographic information systems, social networking (online), text analysis, BibRef

Cao, J., Zeng, K., Wang, H., Cheng, J., Qiao, F., Wen, D., Gao, Y.,
Web-Based Traffic Sentiment Analysis: Methods and Applications,
ITS(15), No. 2, April 2014, pp. 844-853.
IEEE DOI 1404
Context BibRef

Ebrahimi, M., Yazdavar, A.H., Sheth, A.,
Challenges of Sentiment Analysis for Dynamic Events,
IEEE_Int_Sys(32), No. 5, September 2017, pp. 70-75.
IEEE DOI 1710
Artificial intelligence, Sentiment analysis, Social network services, deep learning, intelligent systems, natural language processing, sentiment analysis, BibRef


Syed, A.Z.[Afraz Z.], Martinez-Enriquez, A.M., Nazir, A.[Akhzar], Aslam, M.[Muhammad], Basit, R.H.[Rida Hijab],
Mining the Urdu Language-Based Web Content for Opinion Extraction,
MCPR17(244-253).
Springer DOI 1706
BibRef

Sun, Z.Y.[Zheng-Ya], Han, J.[Jiuqi], Hao, H.W.[Hong-Wei],
Structural feature-based event clustering for short text streams,
ICPR16(3252-3257)
IEEE DOI 1705
Adaptation models, Automation, Clustering algorithms, Measurement, Semantics, Standards BibRef

Cote, M., Albu, A.B.,
Layered ground truth: Conveying structural and statistical information for document image analysis and evaluation,
ICPR16(3258-3263)
IEEE DOI 1705
Layout, Performance evaluation, Semantics, Shape, Text analysis, XML, document image dataset, document layout analysis, ground truth, image segmentation, performance evaluation, statistical pattern, structural, pattern BibRef

Sinoara, R.A., Rossi, R.G., Rezende, S.O.,
Semantic role-based representations in text classification,
ICPR16(2313-2318)
IEEE DOI 1705
Companies, Labeling, Proposals, Semantics, Syntactics, Text, mining BibRef

Gali, N., Mariescu-Istodor, R., Fränti, P.,
Similarity measures for title matching,
ICPR16(1548-1553)
IEEE DOI 1705
Biomedical measurement, Computer science, Computers, Frequency measurement, Information retrieval, Ontologies, Weight measurement, information retrieval, similarity measures, title matching, web, mining BibRef

Hurtado, J.[Julio], Mendoza, M.[Marcelo], Ñanculef, R.[Ricardo],
Boosting SpLSA for Text Classification,
CIARP16(142-149).
Springer DOI 1703
BibRef

Su, Y.T.[Yu-Ting], Wang, H.J.[Hui-Jing],
LingoSent: A Platform for Linguistic Aware Sentiment Analysis for Social Media Messages,
MMMod17(I: 452-464).
Springer DOI 1701
BibRef

Saikrishna, V., Dowe, D.L., Ray, S.,
MML inference of Finite State Automata for probabilistic spam detection,
ICAPR15(1-6)
IEEE DOI 1511
data mining BibRef

Eldesouky, B.[Bahaa], Bakry, M.[Menna], Maus, H.[Heiko], Dengel, A.[Andreas],
Supporting early contextualization of textual content in digital documents on the Web,
ICDAR15(1071-1075)
IEEE DOI 1511
BibRef

Ray, A.[Anupama], Rajeswar, S.[Sai], Chaudhury, S.[Santanu],
A hypothesize-and-verify framework for text recognition using deep recurrent neural networks,
ICDAR15(936-940)
IEEE DOI 1511
BibRef
And:
Text recognition using deep BLSTM networks,
ICAPR15(1-6)
IEEE DOI 1511
image classification BibRef

Al-Ashmoery, Y., Messoussi, R.,
Learning analytics system for assessing students' performance quality and text mining in online communication,
ISCV15(1-8)
IEEE DOI 1506
courseware BibRef

Li, C.[Cheng], Rana, S.[Santu], Phung, D.[Dinh], Venkatesh, S.[Svetha],
Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models,
ICPR14(1307-1312)
IEEE DOI 1412
Bayes methods. Document, text, analysis. BibRef

Mishra, S.[Sumit], Saha, S.[Sriparna], Mondal, S.[Samrat],
On Validation of Clustering Techniques for Bibliographic Databases,
ICPR14(3150-3155)
IEEE DOI 1412
Clustering algorithms BibRef

Serrano, J.M.B.[José M. Bande], Palancar, J.H.[José Hernández], Cumplido, R.[René],
The Evaluation of Ordered Features for SMS Spam Filtering,
CIARP14(383-390).
Springer DOI 1411
BibRef

Gerdjikov, S., Mihov, S., Nenchev, V.,
Extraction of Spelling Variations from Language Structure for Noisy Text Correction,
ICDAR13(324-328)
IEEE DOI 1312
document image processing BibRef

Marcacini, R.M.[Ricardo M.], Correa, G.N.[Geraldo N.], Rezende, S.O.[Solange O.],
An active learning approach to frequent itemset-based text clustering,
ICPR12(3529-3532).
WWW Link. 1302
BibRef

Wu, M.S.[Meng-Sung], Wang, H.M.[Hsin-Min],
Term relevance dependency model for text classification,
ICPR12(1064-1067).
WWW Link. 1302
BibRef

Zheng, W.B.[Wen-Bin], Qian, Y.T.[Yun-Tao],
Non-negative Sparse Semantic Coding for text categorization,
ICPR12(409-412).
WWW Link. 1302
BibRef

Dey, L.[Lipika], Gaonkar, B.[Bhakti],
Discovering regular and consistent behavioral patterns in topical tweeting,
ICPR12(3464-3467).
WWW Link. 1302
BibRef

Prabhakaran, S.[Sandhya], Raman, S.[Sudhir], Vogt, J.E.[Julia E.], Roth, V.[Volker],
Automatic Model Selection in Archetype Analysis,
DAGM12(458-467).
Springer DOI 1209
Representative objects (text) BibRef

Wagner, H.[Hubert], Dlotko, P.[Pawel], Mrozek, M.[Marian],
Computational Topology in Text Mining,
CTIC12(68-78).
Springer DOI 1206
BibRef

Zhao, Y.H.[Yu-Hang], Zhang, Z.X.[Zhao-Xiang], Wang, Y.H.[Yun-Hong], Liu, J.Y.[Jian-Yun],
Robust mobile spamming detection via graph patterns,
ICPR12(983-986).
WWW Link. 1302
for SMS BibRef

Artigas-Fuentes, F., Gil-Garcia, R., Badia-Contelles, J.M.,
A High-Dimensional Access Method for Approximated Similarity Search in Text Mining,
ICPR10(3155-3158).
IEEE DOI 1008
BibRef

Qiu, B.[Bite], Fang, N.[Ning], Liu, W.Y.[Wen-Yin],
Detect Visual Spoofing in Unicode-Based Text,
ICPR10(1949-1952).
IEEE DOI 1008
BibRef

Saha, S.[Suman], Murthy, C.A., Pal, S.K.[Sankar K.],
Hypertext Classification Using Tensor Space Model and Rough Set Based Ensemble Classifier,
PReMI09(213-218).
Springer DOI 0912
BibRef

Roy, P.[Pinky], Roy, A.[Amrit], Thirani, V.[Vineet],
A New Approach towards Text Filtering,
ICMV09(282-285).
IEEE DOI 0912
BibRef

Ciarelli, P.M.[Patrick Marques], Oliveira, E.[Elias],
An Enhanced Probabilistic Neural Network Approach Applied to Text Classification,
CIARP09(661-668).
Springer DOI 0911
BibRef

Mansjur, D.S.[Dwi Sianto], Wada, T.S.[Ted S.], Juang, B.H.[Biing Hwang],
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization,
ICDAR09(1086-1090).
IEEE DOI 0907
BibRef

Guernine, T.[Taoufik], Zeroual, K.[Kacem],
A New Fuzzy Hierarchical Classification Based on SVM for Text Categorization,
ICIAR09(865-874).
Springer DOI 0907
BibRef

Dong, J.X.[Jian-Xiong], Suen, C.Y., Krzyzak, A.[Adam],
Effective shrinkage of large multi-class linear SVM models for text categorization,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Gargiulo, F.[Francesco], Sansone, C.[Carlo],
Combining visual and textual features for filtering spam emails,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Tran, T.P.[Tich Phuoc], Tsai, P.[Pohsiang], Jan, T.[Tony],
An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Chen, C.L.[Chuan-Liang], Tian, Y.J.[Ying-Jie], Zhang, C.H.[Chun-Hua],
Spam filtering with several novel bayesian classifiers,
ICPR08(1-4).
IEEE DOI 0812
BibRef

You, Q.[Qian], Fang, S.F.[Shiao-Fen], Ebright, P.[Patricia],
Visualizing Unstructured Text Sequences Using Iterative Visual Clustering,
Visual07(275-284).
Springer DOI 0706
BibRef

Shaban, K.[Khaled], Basir, O.[Otman], Kamel, M.[Mohamed],
Document Mining Based on Semantic Understanding of Text,
CIARP06(834-843).
Springer DOI 0611
BibRef

Civera, J.[Jorge], Cubel, E.[Elsa], Vidal, E.[Enrique],
Bilingual Text Classification,
IbPRIA07(I: 265-273).
Springer DOI 0706
BibRef

Civera, J.[Jorge], Cubel, E.[Elsa], Juan, A.[Alfons], Vidal, E.[Enrique],
Different Approaches to Bilingual Text Classification Based on Grammatical Inference Techniques,
IbPRIA05(II:630).
Springer DOI 0509
BibRef

Zhang, J.[Jin], Li, G.[Guang], Freeman, W.J.[Walter J.],
Application of Novel Chaotic Neural Networks to Text Classification Based on PCA,
PSIVT06(1041-1048).
Springer DOI 0612
BibRef

Chapter on New Unsorted Entries, and Other Miscellaneous Papers continues in
Grammar Based Analysis, Language Issues .


Last update:Nov 18, 2017 at 20:56:18