Academic literature on the topic 'Textual analysis'
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Journal articles on the topic "Textual analysis"
Davies, Eirian. "Textual analysis." On mood and speech function and the ‘why’ of text analysis 26, no. 1 (May 27, 2019): 43–48. http://dx.doi.org/10.1075/fol.00015.dav.
Full textNahar, Khalid M. O., Ahmed F. Al Eroud, Malek Barahoush, and Abdallah M. Al-Akhras. "SAP: Standard Arabic Profiling Toolset for Textual Analysis." International Journal of Machine Learning and Computing 9, no. 2 (April 2019): 222–29. http://dx.doi.org/10.18178/ijmlc.2019.9.2.790.
Full textMakwana, Kirti, and Amit P. Ganatra. "Textual Data Analysis of ‘Mann Ki Baat’ Show." Indian Journal Of Science And Technology 15, no. 37 (October 7, 2022): 1859–67. http://dx.doi.org/10.17485/ijst/v15i37.848.
Full textPark, Chungyeol. "Close Textual Analysis and the Design of Learning Spaces." English Teachers Association in Korea 30, no. 2 (June 30, 2024): 19–39. http://dx.doi.org/10.35828/etak.2024.30.2.19.
Full textPinto, Rosalice. "Prototypicity and Textual Analysis." New Approaches in Text Linguistics 23 (September 25, 2009): 31–44. http://dx.doi.org/10.1075/bjl.23.04pin.
Full textLoughran, Tim, and Bill McDonald. "Textual Analysis in Finance." Annual Review of Financial Economics 12, no. 1 (November 1, 2020): 357–75. http://dx.doi.org/10.1146/annurev-financial-012820-032249.
Full textPREDA, Nicolae. "The prayer “GOD OF THE SPIRITS...” short textual analysis." ICOANA CREDINTEI 4, no. 8 (June 25, 2018): 48–62. http://dx.doi.org/10.26520/icoana.2018.8.4.48-62.
Full textThomson, Elizabeth A. "Theme unit analysis." Functions of Language 12, no. 2 (October 12, 2005): 151–79. http://dx.doi.org/10.1075/fol.12.2.02tho.
Full textGandía, Juan L., and David Huguet. "Textual Analysis and Sentiment Analysis in Accounting." Revista de Contabilidad 24, no. 2 (July 1, 2021): 168–83. http://dx.doi.org/10.6018/rcsar.386541.
Full textMakwana, Kirti. "A Textual Data Analysis of the Union Budget of India." Indian Journal Of Science And Technology 17, no. 5 (January 31, 2024): 478–86. http://dx.doi.org/10.17485/ijst/v17i5.1174.
Full textDissertations / Theses on the topic "Textual analysis"
Font, Valverde Martí. "Bayesian analysis of textual data." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/384329.
Full textIn this thesis I develop statistical methodology for analyzing discrete data to be applied to stylometry problems, always with the Bayesian approach in mind. The statistical analysis of literary style has long been used to characterize the style of texts and authors, and to help settle authorship attribution problems. Early work in the literature used word length, sentence length, and proportion of nouns, articles, adjectives or adverbs to characterize literary style. I use count data that goes from the frequency of word frequency, to the simultaneous analysis of word length counts and more frequent function words counts. All of them are characteristic features of the style of author and at the same time rather independent of the context in which he writes. Here we intrude a Bayesian Analysis of word frequency counts, that have a reverse J-shaped distribution with extraordinarily long upper tails. It is based on extending Sichel's non-Bayesian methodology for frequency count data using the inverse gaussian Poisson model. The model is checked by exploring the posterior distribution of the Pearson errors and by implementing posterior predictive consistency checks. The posterior distribution of the inverse gaussian mixing density also provides a useful interpretation, because it can be seen as an estimate of the vocabulary distribution of the author, from which measures of richness and of diversity of the author's writing can be obtained. An alternative analysis is proposed based on the inverse gaussian-zero truncated Poisson mixture model, which is obtained by switching the order of the mixing and the truncation stages. An analysis of the heterogeneity of the style of a text is proposed that strikes a compromise between change-point, that analyze sudden changes in style, and cluster analysis, that does not take order into consideration. Here an analysis is proposed that strikes a compromise by incorporating the fact that parts of the text that are close together are more likely to belong to the same author than parts of the text far apart. The approach is illustrated by revisiting the authorship attribution of Tirant lo Blanc. A statistical analysis of the heterogeneity of literary style in a set of texts that simultaneously uses different stylometric characteristics, like word length and the frequency of function words, is proposed. It clusters the rows of all contingency tables simultaneously into groups with homogeneous style based on a finite mixture of sets of multinomial models. That has some advantages over the usual heuristic cluster analysis approaches as it naturally incorporates the text size, the discrete nature of the data, and the dependence between categories. All is illustrated with the analysis of the style in plays by Shakespeare, El Quijote, and Tirant lo Blanc. Finally, authorship attribution and verification problems that are usually treated separately are treated jointly. That is done by assuming an open-set classification framework for attribution problems, contemplating the possibility that neither one of the candidate authors, with training texts known to have been written by them is the author of the disputed texts. Then the verification problem becomes a special case of attribution problems.A formal Bayesian multinomial model for this more general authorship attribution is given and a closed form solution for it is derived. The approach to the verification problem is illustrated by exploring whether a court ruling sentence could have been written by the judge that signs it or not, and the approach to the attribution problem illustrated by exploring whether a court ruling sentence could have been written by the judge that signs it or not, and the approach to the attribution problem is illustrated by revisiting the authority attribution
Li, Jie. "Intention-driven textual semantic analysis." School of Computer Science and Software Engineering, 2008. http://ro.uow.edu.au/theses/104.
Full textCox, Donna. "Psycho-analysis and textual production." Thesis, University of Hull, 2000. http://hydra.hull.ac.uk/resources/hull:3957.
Full textSCHULTZ, BRITTANY DIANE. "CONTEMPLATIVE PEDAGOGY: A TEXTUAL ANALYSIS." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/613587.
Full textBelvisi, Nicole Mariah Sharon. "Document Forensics Through Textual Analysis." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-40157.
Full textPant, Meagan. "Framing Celebrity Miscarriage: A Textual Analysis." University of Dayton / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton161608093175056.
Full textDavis, Miles. "Textual Analysis of the Soma Mining Disaster." Thesis, Southern Illinois University at Edwardsville, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10273837.
Full textThis paper is a case study of the Soma mining disaster that took place on May 13, 2014. The disaster ultimately resulted in the deaths of 301 miners. To better understand how this incident was portrayed in newspaper coverage, a textual analysis of frames was conducted. In order to garner the broadest possible scope regarding the depiction of this disaster, newspapers with varying political and religious affiliations were examined. These frames were analyzed to identify elements of classical propaganda in news organizations regardless of political or religious affiliation.
Coverage from four daily newspapers (Yeni Şafak, Sabah, Cumhuriyet, and Everensel) was analyzed for frames that emphasize nationalism, Islamism, or worker-employer relations. The study found that the most commonly used elements of classical propaganda were: emotional appeals and flag waiving—or the invocation of nationally held symbols to motivate action or thought the audience would not have done on their own volition.
Todd, Billy R. "Codex 2464 background, collation, and textual analysis /." Theological Research Exchange Network (TREN), 2008. http://www.tren.com/search.cfm?p001-1233.
Full textStarks, Shannon. "Moral Values in Moral Psychology? A Textual Analysis." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6067.
Full textDuggins, Pender Amy. "John Harbison’s Simple Daylight: A Textual and Musical Analysis." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1312292109.
Full textBooks on the topic "Textual analysis"
Bauer, Martin, Ahmet Süerdem, and Aude Bicquelet. Textual Analysis. 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2014. http://dx.doi.org/10.4135/9781473915299.
Full textMenéndez, Salvio Martín. Gramática textual. Buenos Aires: Editorial Plus Ultra, 1993.
Find full textTaylor, C. Brian. Textual Analysis Made Easy. New York : Routledge, [2017]: Routledge, 2016. http://dx.doi.org/10.4324/9781315668635.
Full textBurns, Gary, 1952 June 10- and Thompson Robert J. 1959-, eds. Television studies: Textual analysis. New York: Praeger, 1989.
Find full textAnn, Caws Mary, ed. Textual analysis: Some readers reading. New York, N.Y: Modern Language Association of America, 1986.
Find full textRodríguez, Catalina Fuentes. El comentario lingüístico-textual. Madrid: Arco Libros, 1998.
Find full textEzquerro, Milagros. Manual de análisis textual. Toulouse: Institut d'Etudes Hispaniques et Hispano-Américaies, Université de Toulouse-Le Mirail, 1988.
Find full textRamos, Angeles Sirvent. La teoría textual barthesiana. Murcia: Universidad, Secretariado de Publicaciones, 1992.
Find full textTravis, Charles, Francis Ludlow, and Ferenc Gyuris, eds. Historical Geography, GIScience and Textual Analysis. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37569-0.
Full textPaudyal, Krishna Prasad. Dangaura Tharu narratives. A textual analysis. München: Lincom Europa, 2018.
Find full textBook chapters on the topic "Textual analysis"
Yoshimi, Jeffrey. "Textual Analysis." In SpringerBriefs in Philosophy, 35–37. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26698-5_4.
Full textGreen, Miriam. "Textual analysis." In Management Scholarship and Organisational Change, 52–72. Abingdon, Oxon ; NewYork, NY : Routledge, 2019. | Series: Finance, governance and sustainability: challenges to theory and practice series: Routledge, 2019. http://dx.doi.org/10.4324/9781315519296-4.
Full textButler, Jeremy G., and Amanda D. Lotz. "Textual Analysis." In Television, 317–38. Fifth edition. | New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315181295-13.
Full textSoltero, Gonzalo. "Textual analysis." In Conspiracy Narratives South of the Border, 159–82. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series: Conspiracy theories: Routledge, 2020. http://dx.doi.org/10.4324/9781003033028-6.
Full textVan Dormolen, J. "Textual Analysis." In Perspectives on Mathematics Education, 141–71. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4504-3_4.
Full textBrennen, Bonnie S. "Textual Analysis." In Qualitative Research Methods for Media Studies, 212–50. 3rd ed. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003122388-8.
Full textden Boer, Lucas. "Textual analysis." In The Jaina Worldview, 37–131. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003334866-3.
Full textLebart, Ludovic, André Salem, and Lisette Berry. "Textual Discriminant Analysis." In Exploring Textual Data, 163–99. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1525-6_9.
Full textLacey, Nick. "Advanced Textual Analysis." In Image and Representation, 83–145. London: Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-28800-4_5.
Full textEsterling, Shea Elizabeth. "A Textual Analysis." In Indigenous Cultural Property and International Law, 18–72. London: Routledge, 2023. http://dx.doi.org/10.4324/9780429060069-2.
Full textConference papers on the topic "Textual analysis"
Bhavya, R., Roja Ramani, G. Leela Gowtham Royal, G. Manideep, and Gautham Sridhar. "Exploring Depression Through Social Media: A Textual Analysis." In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/ickecs61492.2024.10616468.
Full textKanayama, Hiroshi, and Tetsuya Nasukawa. "Textual demand analysis." In the 22nd International Conference. Morristown, NJ, USA: Association for Computational Linguistics, 2008. http://dx.doi.org/10.3115/1599081.1599133.
Full textAgrawal, Pratik K., and Abrar S. Alvi. "Textual Feedback Analysis: Review." In 2015 International Conference on Computing Communication Control and automation(ICCUBEA). IEEE, 2015. http://dx.doi.org/10.1109/iccubea.2015.95.
Full textMondal, Ajoy, and C. V. Jawahar. "Textual Description for Mathematical Equations." In 2019 International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2019. http://dx.doi.org/10.1109/icdar.2019.00210.
Full textYou, Quanzeng, Liangliang Cao, Hailin Jin, and Jiebo Luo. "Robust Visual-Textual Sentiment Analysis." In MM '16: ACM Multimedia Conference. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2964284.2964288.
Full textWilkerson, John. "Textual analysis of government data." In dg.o 2015: 16th Annual International Digital Government Research Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2757401.2757439.
Full textAntinyan, Vard, and Miroslaw Staron. "Proactive reviews of textual requirements." In 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE, 2017. http://dx.doi.org/10.1109/saner.2017.7884670.
Full textMiene, A., T. Hermes, G. Ioannidis, and A. Christoffers. "Extracting textual inserts from digital videos." In Proceedings of Sixth International Conference on Document Analysis and Recognition. IEEE, 2001. http://dx.doi.org/10.1109/icdar.2001.953952.
Full textStairmand, Mark A. "Textual context analysis for information retrieval." In the 20th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/258525.258552.
Full textPeeples, Cody R., Pete Rotella, and Mark-David McLaughlin. "Textual analysis of security bug reports." In 2017 IEEE International Symposium on Technologies for Homeland Security (HST). IEEE, 2017. http://dx.doi.org/10.1109/ths.2017.7943493.
Full textReports on the topic "Textual analysis"
Boudoukh, Jacob, Ronen Feldman, Shimon Kogan, and Matthew Richardson. Which News Moves Stock Prices? A Textual Analysis. Cambridge, MA: National Bureau of Economic Research, January 2013. http://dx.doi.org/10.3386/w18725.
Full textCarlson, Andrew, Tom M. Mitchell, and Ian Fette. Data Analysis Project: Leveraging Massive Textual Corpora Using n-Gram Statistics. Fort Belvoir, VA: Defense Technical Information Center, May 2008. http://dx.doi.org/10.21236/ada485623.
Full textBena, Jan, Isil Erel, Daisy Wang, and Michael Weisbach. Specialized Investments and Firms’ Boundaries: Evidence from Textual Analysis of Patents. Cambridge, MA: National Bureau of Economic Research, August 2021. http://dx.doi.org/10.3386/w29174.
Full textGopalan, Banu, Christian Posse, Antonio P. Sanfilippo, Mary Stenzel-Poore, S. L. Stevens, Jose Castano, Nathaniel Beagley, et al. Aligning ontologies and integrating textual evidence for pathway analysis of microarray data. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/948766.
Full textDooley, Kevin, Steven Corman, and Dan Ballard. Centering Resonance Analysis: A Superior Data Mining Algorithm for Textual Data Streams. Fort Belvoir, VA: Defense Technical Information Center, March 2004. http://dx.doi.org/10.21236/ada422048.
Full textMonarch, Ira A., Dennis R. Goldenson, and Lawrence T. Osiecki. Requirements and Their Impact Downstream: Improving Casual Analysis Processes Through Measurement and Analysis of Textual Information. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada488178.
Full textCárcamo-Ulloa, L., D. Calva Rosales, and N. Ronquillo Rodríguez. Mexico, in the Chilean press: analysis based on mining of textual dates in Twitter. Revista Latina de Comunicación Social, July 2017. http://dx.doi.org/10.4185/rlcs-2017-1199en.
Full textKalyani, Aakash, Nicholas Bloom, Marcela Carvalho, Tarek Hassan, Josh Lerner, and Ahmed Tahoun. The Diffusion of New Technologies. Institute for New Economic Thinking Working Paper Series, June 2024. http://dx.doi.org/10.36687/inetwp222.
Full textHassan, Tarek A., Jesse Schreger, Markus Schwedeler, and Ahmed Tahoun. Country Risk. Institute for New Economic Thinking Working Paper Series, March 2021. http://dx.doi.org/10.36687/inetwp157.
Full textRomova, Zina, and Martin Andrew. Embedding Learning for Future and Imagined Communities in Portfolio Assessment. Unitec ePress, September 2015. http://dx.doi.org/10.34074/rsrp.42015.
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