Relevant bibliographies by topics / Text-based

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Text-based'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Text-based"

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SI, Qin, Li ZHANG, and De-liang LIAN. "Text watermarking based on text feature." Journal of Computer Applications 29, no. 9 (2009): 2348–50. http://dx.doi.org/10.3724/sp.j.1087.2009.02348.

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Farah, Qasim Ahmed Alyousuf, and Din Roshidi. "Analysis review on feature-based and word-rule based techniques in text steganography." Bulletin of Electrical Engineering and Informatics 9, no. 2 (2020): 764–70. https://doi.org/10.11591/eei.v9i2.2069.

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This paper presents several techniques used in text steganography in term of feature-based and word-rule based. Additionally, it analyses the performance and the metric evaluation of the techniques used in text steganography. This paper aims to identify the main techniques of text steganography, which are feature-based, and word-rule based, to recognize the various techniques used with them. As a result, the primary technique used in the text steganography was feature-based technique due to its simplicity and secured. Meanwhile, the common parameter metrics utilized in text steganography were
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D., Mhamdi. "Job Recommendation System based on Text Analysis." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (2020): 1025–30. http://dx.doi.org/10.5373/jardcs/v12sp4/20201575.

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Hussain Zargar, Khalid, and Manzoor Ahmad Chachoo. "Content Based Text Classification Using Morkov Models." International Journal of Scientific Engineering and Research 3, no. 6 (2015): 48–52. https://doi.org/10.70729/ijser15239.

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Lockwood, Robert, and Kevin Curran. "Text based steganography." International Journal of Information Privacy, Security and Integrity 3, no. 2 (2017): 134. http://dx.doi.org/10.1504/ijipsi.2017.088700.

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Lockwood, Robert, and Kevin Curran. "Text based steganography." International Journal of Information Privacy, Security and Integrity 3, no. 2 (2017): 134. http://dx.doi.org/10.1504/ijipsi.2017.10009581.

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YOSHIMI, TAKEHIKO, JIRI JELINEK, OSAMU NISHIDA, NAOYUKI TAMURA, and HARUO MURAKAMI. "Text Analysis based on Text-Wide Grammar." Journal of Natural Language Processing 4, no. 1 (1997): 3–21. http://dx.doi.org/10.5715/jnlp.4.3.

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Li, De, Xue Zhe Jin, and LiHua Cui. "Text recognition algorithm based on text features." International Journal of Multimedia and Ubiquitous Engineering 11, no. 5 (2016): 209–20. http://dx.doi.org/10.14257/ijmue.2016.11.5.19.

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Chatterjee, Ayan, Gourab Dolui, and Dr Uttam Kumar Roy. "Text Based Steganography – A Theoritical Proposal of Text Based Hiding Strategy." International Journal of Scientific and Engineering Research 6, no. 11 (2015): 625–29. http://dx.doi.org/10.14299/ijser.2015.11.005.

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Chatterjee, Ayan, Gourab Dolui, and Dr Uttam Kumar Roy. "Text Based Steganography - A Theoritical Proposal of Text Based Hiding Strategy." International Journal of Scientific and Engineering Research 6, no. 11 (2015): 625–29. http://dx.doi.org/10.14299/ijser.2015.11.010.

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Dissertations / Theses on the topic "Text-based"

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SOARES, FABIO DE AZEVEDO. "AUTOMATIC TEXT CATEGORIZATION BASED ON TEXT MINING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23213@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>A Categorização de Documentos, uma das tarefas desempenhadas em Mineração de Textos, pode ser descrita como a obtenção de uma função que seja capaz de atribuir a um documento uma categoria a que ele pertença. O principal objetivo de se construir uma taxonomia de documentos é tornar mais fácil a obtenção de informação relevante. Porém, a implementação e a execução de um processo de Categorização de Documentos não é uma tarefa trivial: as ferramentas de Mineração de Textos estão
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NUNES, IAN MONTEIRO. "CLUSTERING TEXT STRUCTURED DATA BASED ON TEXT SIMILARITY." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25796@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>O presente trabalho apresenta os resultados que obtivemos com a aplicação de grande número de modelos e algoritmos em um determinado conjunto de experimentos de agrupamento de texto. O objetivo de tais testes é determinar quais são as melhores abordagens para processar as grandes massas de informação geradas pelas crescentes demandas de data quality em diversos setores da economia. O processo de deduplicação foi acelerado pela divisão dos con
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Biedert, Ralf [Verfasser]. "Gaze-Based Human-Text Interaction/Text 2.0 / Ralf Biedert." München : Verlag Dr. Hut, 2014. http://d-nb.info/1050331605/34.

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Prabowo, Rudy. "Ontology-based automatic text classification." Thesis, University of Wolverhampton, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.418665.

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This research investigates to what extent ontologies can be used to achieve an accurate classification performance of an automatic text classifier, called the Automatic Classification Engine (ACE). The task of the classifier is to classify Web pages with respect to the Dewey Decimal Classification (DOC) and Library of Congress Classification (LCC) schemes. In particular, this research focuses on how to 1. build a set of ontologies which can provide a mechanism to enable machine reasoning; 2. define the mappings between the ontologies and the two classification schemes; 3. implement an ontology
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Lu, Su. "DCT coefficient based text detection." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 57 p, 2008. http://proquest.umi.com/pqdweb?did=1605147371&sid=4&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Couairon, Guillaume. "Text-Based Semantic Image Editing." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS248.

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L’objectif de cette thèse est de proposer des algorithmes pour la tâche d’édition d’images basée sur le texte (TIE), qui consiste à éditer des images numériques selon une instruction formulée en langage naturel. Par exemple, étant donné une image d’un chien et la requête "Changez le chien en un chat", nous voulons produire une nouvelle image où le chien a été remplacé par un chat, en gardant tous les autres aspects de l’image inchangés (couleur et pose de l’animal, arrière- plan). L’objectif de l’étoile du nord est de permettre à tout un chacun de modifier ses images en util
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Gottlieb, Michael. "Text based methods for variant prioritization." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/60358.

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Despite improvements in sequencing technologies, DNA sequence variant interpretation for rare genetic diseases remains challenging. In a typical workflow for the Treatable Intellectual Disability Endeavor in B.C. (TIDE BC), a geneticist examines variant calls to establish a set of candidate variants that explain a patient's phenotype. Even with a sophisticated computation pipeline for variant prioritization, they may need to consider hundreds of variants. This typically involves literature searches on individual variants to determine how well they explain the reported phenotype, which is a tim
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Zhang, Xuan. "Hardware-based text-to-braille translation." Thesis, Curtin University, 2007. http://hdl.handle.net/20.500.11937/1351.

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Braille, as a special written method of communication for the blind, has been globally accepted for years. It gives blind people another chance to learn and communicate more efficiently with the rest of the world. It also makes possible the translation of printed languages into a written language which is recognisable for blind people. Recently, Braille is experiencing a decreasing popularity due to the use of alternative technologies, like speech synthesis. However, as a form of literacy, Braille is still playing a significant role in the education of people with visual impairments. With the
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Zhang, Xuan. "Hardware-based text-to-braille translation." Curtin University of Technology, Department of Computer Engineering, 2007. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=17220.

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Braille, as a special written method of communication for the blind, has been globally accepted for years. It gives blind people another chance to learn and communicate more efficiently with the rest of the world. It also makes possible the translation of printed languages into a written language which is recognisable for blind people. Recently, Braille is experiencing a decreasing popularity due to the use of alternative technologies, like speech synthesis. However, as a form of literacy, Braille is still playing a significant role in the education of people with visual impairments. With the
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Liljeström, Monica. "Learning text talk online : Collaborative learning in asynchronous text based discussion forums." Doctoral thesis, Umeå universitet, Pedagogiska institutionen, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-34199.

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The desire to translate constructivist and sociocultural approaches to learning in specific learning activities is evident in most forms of training at current, not least in online education. Teachers worldwide are struggling with questions of how to create conditions in this fairly new realm of education for learners to contribute to the development of a good quality in their own and others' learning. Collaboration in forms of text talk in asynchronous, text based forums (ADF) is often used so students can participate at the location and time that suits them best given the other aspects of th
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Books on the topic "Text-based"

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Mickan, Peter, and Elise Lopez, eds. Text-Based Research and Teaching. Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-59849-3.

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Sharpe, Pamela J. TOEFL iBT: Internet -based text. Barron's Educational Series, Inc, 2010.

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Zuberec, Sarah Elizabeth. Visualization of text based information. National Library of Canada, 1993.

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D, Hanser Robert, ed. Community-based corrections: A text/reader. SAGE, 2012.

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Great Britain. Treasury. Central Computer and Telecommunications Agency., ed. Text-based information management systems volume. H.M.S.O., 1991.

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Central Computer and Telecommunications Agency., ed. Text-based information management systems volume. HMSO, 1991.

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Sullivan, Palincsar Annemarie, ed. Comprehension instruction through text-based discussion. International Reading Association, 2013.

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Neustein, Amy. Text mining of web-based medical content. Boston, 2014.

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W, Jewett John, ed. Principles of physics: A calculus-based text. 4th ed. Brooks/Cole, 2006.

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W, Jewett John, ed. Principles of physics: A calculus-based text. 4th ed. Thomson-Brooks/Cole, 2006.

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Book chapters on the topic "Text-based"

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Aspin, Adam. "Text-Based Visualizations." In Pro Power BI Desktop. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1805-1_10.

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Person, Ron. "Text-Based Dashboards." In Balanced Scorecards & Operational Dashboards with Microsoft® Excel®. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118984000.ch15.

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Tyers, Ben. "Text-Based Quiz." In GameMaker: Studio 100 Programming Challenges. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2644-5_33.

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Wu, Qi, Peng Wang, Xin Wang, Xiaodong He, and Wenwu Zhu. "Text-Based VQA." In Visual Question Answering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0964-1_12.

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Baqach, Adil, and Amal Battou. "Text-Based Sentiment Analysis." In International Conference on Advanced Intelligent Systems for Sustainable Development. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26384-2_10.

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Whitehurst, Roy S. "Evaluate Text-Based Arguments." In Teaching Media Literacy with Social Media News. Routledge, 2024. http://dx.doi.org/10.4324/9781003471301-18.

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Terzi, Maria, Matthew Rowe, Maria-Angela Ferrario, and Jon Whittle. "Text-Based User-kNN: Measuring User Similarity Based on Text Reviews." In User Modeling, Adaptation, and Personalization. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3_17.

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"Text-based interpretation." In Modern Statutory Interpretation. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108895637.012.

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Brokaw, Katherine Steele. "Text-based / concept-driven." In Shakespeare / Text. The Arden Shakespeare, 2021. http://dx.doi.org/10.5040/9781350128170.ch-12.

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"Why Text-Based Questions?" In Teaching With Text-Based Questions. Routledge, 2014. http://dx.doi.org/10.4324/9781315813219-8.

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Conference papers on the topic "Text-based"

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Zhang, Yupeng, Jiong Hang Wu, Zhengkui Chen, Hai Huang, and Guide Zhu. "Text-based Visual Question Answering Based on Text-Aware Pre-Training." In 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML). IEEE, 2024. https://doi.org/10.1109/icicml63543.2024.10957919.

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Canelón, Rodolfo, Francisco Cruz, and Irisysleyer Barrios. "A text mining-based method for domains using AI generative text-to-text." In 2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI). IEEE, 2024. https://doi.org/10.1109/la-cci62337.2024.10814840.

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Priyanka, S., S. Santhiya, S. Keerthika, B. Divyadharshini, P. Madan, and Ms Yaswin. "Personality Based Text Generation." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724424.

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Lin, Xingtao, Chuanyang Gong, Lanxiao Wang, Heqian Qiu, Shengyu Tong, and Hongliang Li. "A Text Detector Based on the Specific Text Prompt." In 2024 IEEE International Conference on Image Processing (ICIP). IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10647439.

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Liu, Zhiyuan, An Zhang, Hao Fei, et al. "ProtT3: Protein-to-Text Generation for Text-based Protein Understanding." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.324.

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Zhang, Jisi, Pablo Peso Parada, Md Asif Jalal, and Karthikeyan Saravanan. "Diffusion based Text-to-Music Generation with Global and Local Text based Conditioning." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889289.

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Malani, Pranav, and Prafulla Bafna. "Context-based Marwari text clustering." In 2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2024. https://doi.org/10.1109/spices62143.2024.10779675.

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Shu, Xin, Xinping Long, and Ying Ma. "BiGRU Based Text Intent Recognition." In 2024 6th International Workshop on Artificial Intelligence and Education (WAIE). IEEE, 2024. https://doi.org/10.1109/waie63876.2024.00068.

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Uppala, Sowmya, Saradhambica Kesavarapu, NV S. Shankar, P. A. Sunny Dayal, A. Sravani, and CVKK Chaitanya. "Web Based Legal Text Summarizer." In 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). IEEE, 2024. https://doi.org/10.1109/scopes64467.2024.10991261.

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Xie, Binqing, and Gady Agam. "Boosting based text and non-text region classification." In IS&T/SPIE Electronic Imaging, edited by Gady Agam and Christian Viard-Gaudin. SPIE, 2011. http://dx.doi.org/10.1117/12.876736.

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Reports on the topic "Text-based"

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Simon, Benjamin. Evaluating Cloud-Based Speech-to-Text Services. Iowa State University, 2021. http://dx.doi.org/10.31274/cc-20240624-641.

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Juhász, Réka, Nathan Lane, Emily Oehlsen, and Veronica Perez. Measuring Industrial Policy: A Text-Based Approach. National Bureau of Economic Research, 2025. https://doi.org/10.3386/w33895.

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Hoberg, Gerard, and Gordon Phillips. Text-Based Network Industries and Endogenous Product Differentiation. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w15991.

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Braun, Ronald. Ontology-Based Information Extraction from Free-Form Text. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada383044.

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Carlson, Lynn, Elizabeth Cooper, Ronald Dolan, and Steve J. Maiorano. Representing Text Meaning for Multilingual Knowledge-Based Machine Translation. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada302333.

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Calomiris, Charles, Harry Mamaysky, and Ruoke Yang. Measuring the Cost of Regulation: A Text-Based Approach. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w26856.

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Paynter, Julie, Ian McCulloh, and John Graham. Application of Confidence Intervals to Text-Based Social Network Construction. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada488539.

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Dasigi, V. R., and R. C. Mann. Toward a multi-sensor-based approach to automatic text classification. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/130610.

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Han, Xuehua, Juanle Wang, and Yuelei Yuan. Extraction and Analysis of Earthquake Events Information based on Web Text. International Science Council, 2019. http://dx.doi.org/10.24948/2019.06.

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Brill, Eric. Automatic Grammar Induction and Parsing Free Text: A Transformation-Based Approach. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada458695.

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