Academic literature on the topic 'Stance mining'
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Journal articles on the topic "Stance mining"
Stede, Manfred. "Automatic argumentation mining and the role of stance and sentiment." Journal of Argumentation in Context 9, no. 1 (May 4, 2020): 19–41. http://dx.doi.org/10.1075/jaic.00006.ste.
Full textWang, Rui, Deyu Zhou, Mingmin Jiang, Jiasheng Si, and Yang Yang. "A Survey on Opinion Mining: From Stance to Product Aspect." IEEE Access 7 (2019): 41101–24. http://dx.doi.org/10.1109/access.2019.2906754.
Full textSchaefer, Robin, and Manfred Stede. "Argument Mining on Twitter: A survey." it - Information Technology 63, no. 1 (February 1, 2021): 45–58. http://dx.doi.org/10.1515/itit-2020-0053.
Full textHuang, Weidong, Yuan Wang, Jinyuan Yang, and Yijun Xu. "Stance Detection Based on User Feature Fusion." Computational Intelligence and Neuroscience 2022 (March 30, 2022): 1–9. http://dx.doi.org/10.1155/2022/5738404.
Full textGöcke, Katja. "Uranium Mining in Nunavut." Yearbook of Polar Law Online 5, no. 1 (2013): 119–42. http://dx.doi.org/10.1163/22116427-91000121.
Full textMilutinović, Sunčica, and Olivera Grljević. "Analysis of accountants' attitudes on regulation using data mining." Ekonomika preduzeca 68, no. 5-6 (2020): 341–53. http://dx.doi.org/10.5937/ekopre2006341m.
Full textWei, Penghui, Wenji Mao, and Guandan Chen. "A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7249–56. http://dx.doi.org/10.1609/aaai.v33i01.33017249.
Full textHolden, William, and Daniel Jacobson. "Ecclesial Opposition to Mining on Mindanao: Neoliberalism Encounters the Church of the Poor in the Land of Promise." Worldviews: Global Religions, Culture, and Ecology 11, no. 2 (2007): 155–202. http://dx.doi.org/10.1163/156853507x204923.
Full textAhmadi, Seyed-Ahmad, Gerome Vivar, Johann Frei, Sergej Nowoshilow, Stanislav Bardins, Thomas Brandt, and Siegbert Krafczyk. "Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway." Journal of Neurology 266, S1 (July 8, 2019): 108–17. http://dx.doi.org/10.1007/s00415-019-09458-y.
Full textWang, Heyuan, Tengjiao Wang, and Yi Li. "Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 971–78. http://dx.doi.org/10.1609/aaai.v34i01.5445.
Full textDissertations / Theses on the topic "Stance mining"
Ruggeri, Federico. "Predizione della struttura di un argomento con feature di stance classification." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15009/.
Full textSiseho, Kamwi Rector. "Constraints on the genesis of the Sandamap gold prospect, Namibia: fluid inclusion, geochronology and stable isotope studies." University of the Western Cape, 2020. http://hdl.handle.net/11394/7246.
Full textThe Sandamap gold prospect is a metaturbidite shear zone-hosted gold mineralization located in the Neoproterozoic Damara Orogen 30 km northwest of the town of Usakos in Namibia with an estimated gold content of 240 000 t at 3.6 g/t up to 40 m below surface. This research project was aimed at constraining the age, crustal level of formation, pressure-temperature conditions during formation, sources of the mineralizing fluids, and by implication, the metal sources of the Sandamap gold mineralization. Fluid inclusion, geochronological and isotopic studies were carried out on quartz veins hosting the ore. The presence of kaolinite, alunite and jarosite suggest post-hydrothermal weathering of sulfides. Various sources of data from this study, giving rise to depths of entrapment of 4 to 14 km, temperature range of entrapment of fluids of 187 – 594 °C, stable isotope data (δ13C and δ18O), δD values and a δD vs. δ18OH2O plot are all in favour of an orogenic gold deposit. Additionally, the dominant CO2-rich and CH4-rich fluids observed at Sandamap do not contradict this interpretation. The calculated depth of entrapment of mineralization covers the lower portion of the epizonal zone to the upper portion of the hypozonal zone of gold deposits. The Sandamap mineralization’s δD values of -35‰ to -49‰ fall within the range of most published data for typical orogenic gold deposits which varies from -20 to -80‰. Moreover, the calculated δ18Owater values of the ore-fluids (+6.6 to +11.3‰) of the higher temperature aqueous group from the Sandamap mineralization fall within the range observed in typical orogenic gold deposits found in Phanerozoic terrains (+7 to +13‰). The schist hosting the mineralized shear zone with a gold content of 0.05 ppm Au or its higher grade equivalent at depth, is a possible gold source candidate. Two mechanisms of deposition were possibly at play: (i) the cooling below 500 °C and possible sulfidation (resulting from fluid-rock interaction), lowered the solubility of pyrite causing S3- and Au(HS)S3- (possible main Au carriers) to breakdown resulting in decreased Au solubility and its subsequent deposition and (ii) the elevated amount of CO2 (e.g. trench 14 where CO2-rich fluid inclusions are dominant) led to a sharp decrease in the Au(HS)2- and Au(HS)S3- concentrations, causing decreased Au solubility and its subsequent deposition. The age of mineralization obtained from 40Ar/39Ar dating of the muscovite associated with the ore-hosting quartz veins is placed at 472 ± 3 Ma. The mineralization is younger than the shear zone, which acted as a conduit for ore-fluid migration and it has no age relationship with proximal plutonic bodies. The mineralization is younger than the foliated granite (FG), which exhibits a metamorphic fabric in the form of mineral segregation, but older than the non-foliated granite (GT) which hosts a mineralized xenolith.
Loscalzo, Steven. "Group based techniques for stable feature selection." Diss., Online access via UMI:, 2009.
Find full textOzharar, Sarper. "Stable optical frequency comb generation and applications in arbitrary waveform generation, signal processing and optical data mining." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002388.
Full textMiao, Ziheng. "Application of Stable Isotopes and Geochemical Analysis to Characterize Sulfate, Nitrate, and Trace Element Contamination of Groundwater and Its Remediation at a Former Uranium Mining Site." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/293389.
Full textOzharar, Sarper. "STABLE OPTICAL FREQUENCY COMB GENERATION AND APPLICATIONS IN ARBITRARY WAVEFORM GENERATION, SIGNAL PROCESSING AND OPTICAL DATA M." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3516.
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Optics and Photonics
Optics and Photonics
Optics PhD
Johnson, Douglas M. "The Nature and Origin of Pebble Dikes and Associated Alteration: Tintic Mining District (Ag-Pb-Zn), Utah." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/5493.
Full textAraújo, Valeska Peres de, and Instituto de Engenharia Nuclear. "Dinâmica das águas subterrâneas e mecanismos de recarga em uma área de mineração de urânio empregando técnicas isotópicas." Instituto de Engenharia Nuclear, 2017. http://carpedien.ien.gov.br:8080/handle/ien/1975.
Full textMade available in DSpace on 2017-11-06T16:09:39Z (GMT). No. of bitstreams: 1 VALESKA PERES DE ARAUJO D.pdf: 19050366 bytes, checksum: a130a4b8dc02de3bc8bae53d77530112 (MD5) Previous issue date: 2017
Em regiões áridas e semiáridas, a água superficial não está disponível de forma perene, e as águas subterrâneas proporcionam, na maioria dos casos, a única fonte de água permanente e segura. Esta situação é particularmente verdadeira na Bacia Experimental Caetité (BEC), localizada na região semiárida do Nordeste do Brasil, onde a comunidade local é fortemente dependente da disponibilidade de águas subterrâneas. A questão da água se agravou em 1999, com o início das operações de uma instalação nuclear, a Unidade de Concentrado de Urânio (URA), e a comunidade local teve que enfrentar não apenas os desafios associados à escassez de água, mas também os potenciais processos de contaminação decorrentes da atividade de mineração. Este cenário provocou um debate crescente entre a comunidade local e o centro de produção de urânio. Embora vários estudos venham sendo conduzidos na região, o regime de fluxo de águas subterrâneas nesta bacia hidrográfica permanece mal compreendido. Este estudo tem como objetivo investigar a dinâmica das águas subterrâneas e mecanismos de recarga nesta bacia, como parte dos esforços iniciais para caracterizar a hidrogeologia desta área afim de subsidiar futuros estudos de contaminação. Medidas de δ2H, δ 18O, total de sólidos dissolvidos (TSD), pH e condutividade elétrica (EC) foram realizadas em um total de 181 amostras (122 águas subterrâneas, 36 águas superficiais e 23 amostras de precipitação) coletadas durante as estações secas e chuvosas de 2012 a 2014. Os resultados químicos, físico-químicos e isotópicos sugerem que a recarga é espacialmente variável, correndo por mecanismo direto e indireto, por precipitação local e contribuição da água superficial, respectivamente. Estes resultados apontam para uma dinâmica rápida deste sistema, tornando-o mais vulnerável à contaminação por atividades na superfície do terreno, uma vez que os contaminantes podem rapidamente atingir o aquífero.
In arid and semi-arid regions, where surface water is not available on fixed basis, groundwater provides in most cases the only permanent and safe source of water. This situation is particularly true in the Caetité Experimental Basin (CEB), located in the semi-arid region of Northeastern Brazil, where the local community depends heavily on groundwater availability. The water issue has been aggravated since 1999 when a nuclear facility, the Uranium Concentrate Unit (URA), started operations and the local community had to face not only the challenges associated with water scarcity but also the potential contamination processes due to mining activity. This scenario caused an increasing debate over competing water interests between the local community and the uranium production center. Although several studies have been conducted to characterize the hydrological system of the region, the groundwater flow regime in this watershed remains poorly understood. This study aims to investigate the groundwater dynamics and recharge mechanisms in this basin, as part of initial efforts to characterize the hydrogeology of this area for future contamination studies. Measurements of δ2H, δ18O, total dissolved solids (TDS), pH, and electrical conductivity (EC) were carried out in a total of 181 samples (122 groundwater, 36 surface water and 23 rainfall samples), collected during the dry and wet seasons from 2012 to 2014. The chemical, physicochemical and Isotope results suggest that the recharge is spatially variable, occurring by direct and indirect mechanism, by local precipitation and surface water contribution, respectively. These results point to a fast dynamic of this system, which makes this aquifer more vulnerable to contamination from activities in the land surface, as the contaminants could move and quickly reach the aquifer.
Hallberg, Carl-Bernhard, and Gustaf Sjölinder. "Reducing volatility for a linear and stable growth in a cryptocurrency : Encourage spending, while providing a stable store of value over time in a decentralized network." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296645.
Full textInternet gav människor möjlighet att utbyta information digitalt och har förändrat hur vi kommunicerar. Blockkedjeteknik och kryptovalutor har gett människan ett nytt sätt att utbyta värde på internet. Med ny teknologi kommer möjligheter, men kan även medföra problem. Ett problem som uppstått med kryptovalutor är deras volatilitet, vilket betyder att valutan upplever stora prissvängningar. Detta har gjort dessa valutor till objekt för spekulation och investering, och därmed gått ifrån sin funktion som valuta. För att en valuta ska anses som ett bra betalmedel, bör den inte ha hög volatilitet. Detta är inte bara begränsat till kryptovalutor, då till exempel Venezuelas nationella valuta Bolivar är en fiatvaluta med historiskt hög volatilitet som förlorat sin köpkraft på grund av hyperinflation under de senaste åren. Med detta i åtanke föreslår vi en ny kryptovaluta; Dynamic Network Token, vars uppgift är att reducera volatiliteten i en kryptovaluta genom att reglera utbudet dynamiskt med hjälp av burning och minting. Denna implementeringsuppgift är att minska hög volatilitet till fördel för en mer stabil och linjär tillväxt och samtidigt uppmana användare att använda Dynamic Network Token mellan varandra i nätverket.
Roopnarain, Sherissa. "Petrogenesis of Carbonatites in the Alnö Complex, Central Sweden." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-215436.
Full textBooks on the topic "Stance mining"
Pennypacker, Sara. The Mount Rushmore Calamity. New York, NY: HarperCollins, 2009.
Find full textPennypacker, Sara. The Mount Rushmore Calamity. New York: HarperCollins, 2009.
Find full textFriedman, Martin L. Hockney paints the stage: Hayward Gallery, London, 1 August to 29 September 1985. London: Arts Council of Great Britain, 1985.
Find full textFriedman, Martin L. Hockney paints the stage: Hayward Gallery, London, 1 August to 29 September 1985. London: Arts Council of Great Britain, 1985.
Find full textBellville, Cheryl Walsh. Theater magic: Behind the scenes at a children's theater. Minneapolis: Carolrhoda Books, 1986.
Find full textBellville, Cheryl Walsh. Theater magic: Behind the scenes at a children's theater. Minneapolis: Carolrhoda Books, 1986.
Find full textJohns, Fleur. Data Mining as Global Governance. Edited by Roger Brownsword, Eloise Scotford, and Karen Yeung. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199680832.013.56.
Full textdu Plessis, Stan. The Miracle of the Septuagint and the Promise of Data Mining in Economics. Edited by Don Ross and Harold Kincaid. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780195189254.003.0016.
Full textO'Brien, William. Prehistoric Copper Mining in Europe. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199605651.001.0001.
Full textBebbington, Anthony, Abdul-Gafaru Abdulai, Denise Humphreys Bebbington, Marja Hinfelaar, Cynthia A. Sanborn, Jessica Achberger, Celina Grisi Huber, Verónica Hurtado, Tania Ramírez, and Scott D. Odell. Mining, Political Settlements, and Inclusive Development in Peru. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198820932.003.0002.
Full textBook chapters on the topic "Stance mining"
Siddiqua, Umme Aymun, Abu Nowshed Chy, and Masaki Aono. "Stance Detection on Microblog Focusing on Syntactic Tree Representation." In Data Mining and Big Data, 478–90. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93803-5_45.
Full textChen, Wei-Fan, Yann-Hui Lee, and Lun-Wei Ku. "Topic-Based Stance Mining for Social Media Texts." In Lecture Notes in Computer Science, 22–33. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20895-4_3.
Full textColantonio, Alessandro, Roberto Di Pietro, Alberto Ocello, and Nino Vincenzo Verde. "Mining Stable Roles in RBAC." In Emerging Challenges for Security, Privacy and Trust, 259–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01244-0_23.
Full textNguyen, Thanh Dai, Sunil Gupta, Santu Rana, and Svetha Venkatesh. "Stable Bayesian Optimization." In Advances in Knowledge Discovery and Data Mining, 578–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57529-2_45.
Full textMoussard, Hélène, Thomas J. Smith, and J. Colin Murrell. "DNA stable Isotope Probing and Gene Mining." In Stable Isotope Probing and Related Technologies, 259–76. Washington, DC: ASM Press, 2014. http://dx.doi.org/10.1128/9781555816896.ch12.
Full textZhou, Da-Wei, Yang Yang, and De-Chuan Zhan. "Detecting Sequentially Novel Classes with Stable Generalization Ability." In Advances in Knowledge Discovery and Data Mining, 371–82. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75762-5_30.
Full textAwaji, Takehisa, and Shun’ichi Teranishi. "Mining and Its Environmental Damage." In The State of the Environment in Asia, 25–45. Tokyo: Springer Japan, 2003. http://dx.doi.org/10.1007/978-4-431-67945-5_2.
Full textBen Brahim, Afef, and Mohamed Limam. "A Stable Instance Based Filter for Feature Selection in Small Sample Size Data Sets." In Advanced Data Mining and Applications, 334–44. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14717-8_26.
Full textP, Mohana Chelvan, and Perumal K. "Stable Feature Selection with Privacy Preserving Data Mining Algorithm." In Communications in Computer and Information Science, 227–37. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5780-9_21.
Full textPérez, Jesús M., Javier Muguerza, Olatz Arbelaitz, Ibai Gurrutxaga, and José I. Martín. "Consolidated Trees: Classifiers with Stable Explanation. A Model to Achieve the Desired Stability in Explanation." In Pattern Recognition and Data Mining, 99–107. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551188_11.
Full textConference papers on the topic "Stance mining"
Sobhani, Parinaz, Diana Inkpen, and Stan Matwin. "From Argumentation Mining to Stance Classification." In Proceedings of the 2nd Workshop on Argumentation Mining. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/w15-0509.
Full textSun, Yizhou. "User Stance Prediction via Online Behavior Mining." In the 26th International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3041021.3051144.
Full textMandya, Angrosh, Advaith Siddharthan, and Adam Wyner. "Scrutable Feature Sets for Stance Classification." In Proceedings of the Third Workshop on Argument Mining (ArgMining2016). Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-2807.
Full textToledo-Ronen, Orith, Roy Bar-Haim, and Noam Slonim. "Expert Stance Graphs for Computational Argumentation." In Proceedings of the Third Workshop on Argument Mining (ArgMining2016). Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-2814.
Full textKüçük, Dilek, and Fazli Can. "A Tutorial on Stance Detection." In WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3488560.3501391.
Full textBoltužić, Filip, and Jan Šnajder. "Back up your Stance: Recognizing Arguments in Online Discussions." In Proceedings of the First Workshop on Argumentation Mining. Stroudsburg, PA, USA: Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/w14-2107.
Full textKiesel, Johannes, Nico Reichenbach, Benno Stein, and Martin Potthast. "Image Retrieval for Arguments Using Stance-Aware Query Expansion." In Proceedings of the 8th Workshop on Argument Mining. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.argmining-1.4.
Full textLingyu, Zeng, Song Chenguang, Wu Bin, and Wang Bai. "SMAM: Detecting Rumors from Microblogs with Stance Mining Assisting Task." In 2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC). IEEE, 2019. http://dx.doi.org/10.1109/dsc.2019.00044.
Full textDarwish, Kareem, Walid Magdy, and Tahar Zanouda. "Improved Stance Prediction in a User Similarity Feature Space." In ASONAM '17: Advances in Social Networks Analysis and Mining 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3110025.3110112.
Full textKotonya, Neema, and Francesca Toni. "Gradual Argumentation Evaluation for Stance Aggregation in Automated Fake News Detection." In Proceedings of the 6th Workshop on Argument Mining. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/w19-4518.
Full textReports on the topic "Stance mining"
Бакум, З. П., О. М. Горошкіна, and С. М. Хоцкіна. A System to Diagnose the Level of Future Mining Engineer Communicative Competence Development. Криворізький державний педагогічний університет, 2015. http://dx.doi.org/10.31812/0564/417.
Full textСавосько, Василь Миколайович, Наталія Вікторівна Товстоляк, Юрій Васильович Лихолат, and Іван Панасович Григорюк. Structure and Diversity of Urban Park Stands at Kryvyi Rih Ore-Mining & Metallurgical District, Central Ukraine. Podgorica, 2020. http://dx.doi.org/10.31812/123456789/3946.
Full textMorkun, Volodymyr S., Сергій Олексійович Семеріков, Svitlana M. Hryshchenko, and Kateryna I. Slovak. System of competencies for mining engineers. Видавництво “CSITA”, 2016. http://dx.doi.org/10.31812/0564/719.
Full textVladut, T. I. State-of-the-art of microseismic application for mining. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304870.
Full textDouglass, Rex, and Candace Rondeaux. MINING THE GAPS: A Text Mining-Based Meta-Analysis of the Current State of Research on Violent Extremism. RESOLVE Network, February 2017. http://dx.doi.org/10.37805/rwps2017.1.
Full textKenney, Margaret. Reproduction of 'Concession Stands: How Mining Investments Incite Protest in Africa'. Social Science Reproduction Platform, May 2022. http://dx.doi.org/10.48152/ssrp-y56h-a969.
Full textMcCarty, Tanner J., Zuyi Wang Wang, Man-Keun Kim, and James Evans. The Economic Contribution of Utah’s Energy and Mining Industries. Utah Geological Survey, November 2022. http://dx.doi.org/10.34191/mp-176.
Full textMills, Stephanie E., and Bear Jordan. Uranium and Vanadium Resources of Utah: An Update in the Era of Critical Minerals and Carbon Neutrality. Utah Geological Survey, September 2021. http://dx.doi.org/10.34191/ofr-735.
Full textHearn, Greg, Marion McCutcheon, Mark Ryan, and Stuart Cunningham. Australian Cultural and Creative Activity: A Population and Hotspot Analysis: Geraldton. Queensland University of Technology, August 2020. http://dx.doi.org/10.5204/rep.eprints.203692.
Full textBeverinotti, Javier, Gustavo Canavire-Bacarreza, and Alejandro Puerta. Understanding the Growth of the Middle Class in Bolivia. Inter-American Development Bank, July 2021. http://dx.doi.org/10.18235/0003407.
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