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Common Round: Application of Language Technologies to Large-Scale Web Debates
2017
Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics
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However, it is challenging to organize, structure, and navigate a vast number of diverse argumentations and comments collected from many participants over a long time period. ...
The platform also provides a cross-lingual access to debates using machine translation. ...
Acknowledgments This research was supported by the German Federal Ministry of Education and Research (BMBF) through the projects ALL SIDES (01IW14002) and BBDC (01IS14013E), by the German Federal Ministry of Economics ...
doi:10.18653/v1/e17-3002
dblp:conf/eacl/UszkoreitGHSABD17
fatcat:6oshbbxp75fnvewtjgkzhogdbi
Text Mining in Big Data Analytics
2020
Big Data and Cognitive Computing
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In accordance with this, more than 200 academic journal articles on the subject are included and discussed in this review; the state-of-the-art text mining approaches and techniques used for analyzing ...
on the predominant trends, methods, and applications of text mining research. ...
Arguments Extraction As another application, text mining is used to extract facts and arguments, specifically from political speeches and documents. ...
doi:10.3390/bdcc4010001
fatcat:6fvmne7f2fbovjp4na5hl2tmv4
Sentiment Analysis: A Survey of Current Research and Techniques
english
2015
International Journal of Innovative Research in Computer and Communication Engineering
english
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Analyzing the polarity of sentiment expressed in data is Opinion Mining (OM). It is a system that identifies and classifies opinion/sentiment as represented in electronic text. ...
This study ensures an overall survey about OM related to product reviews, and classification algorithms used for sentiment classification. ...
Then, for argument mining, the authors cover literature on closely-related tasks that were tackled in Computational Linguistics, as they think that these contribute to powerful argument mining systems ...
doi:10.15680/ijircce.2015.0305002
fatcat:gnt6bltl2bfvxnspyewmwlzqmu
Organizing Financial Opinions
[chapter]
2021
SpringerBriefs in Computer Science
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Many works in this domain [47, 74] use text-based economic indexes with sentiment keywords. ...
Elementary Argumentative Units As mentioned in Sect. 2.1.7, we explain fine-grained financial opinion mining using argument mining. ...
doi:10.1007/978-981-16-2881-8_4
fatcat:zhaexd4bqvajxebhztvzpecf3u
Argument Mining: A Survey
2019
Computational Linguistics
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Argument Mining is the automatic identification and extraction of the structure of inference and reasoning expressed as arguments presented in natural language. ...
This paper explores the techniques that establish the foundations for argument mining, provides a review of recent advances in argument mining techniques, and discusses the challenges faced in automatically ...
and a framework proposed for incorporating information on argumentation structure into the models for economic sentiment discovery in text. ...
doi:10.1162/coli_a_00364
fatcat:vpnimzg47vdrlaexcqngdat2n4
Crowdsourcing Argumentation Structures in Chinese Hotel Reviews
[article]
2017
arXiv
pre-print
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Argumentation mining aims at automatically extracting the premises-claim discourse structures in natural language texts. There is a great demand for argumentation corpora for customer reviews. ...
In this work, we novelly use the crowdsourcing technique to collect argumentation annotations in Chinese hotel reviews. ...
Crowdsourcing has been used to annotate discourse structures. Kawahara et al. ...
arXiv:1705.02077v1
fatcat:4cm7yhqovzedfnpmsdzjpo4shy
Financial data analysis application via multi-strategy text processing
[article]
2022
arXiv
pre-print
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NLP technology can be used to extract entities, relations, and events from unstructured text, and analyze market sentiment. ...
We present a financial data analysis application, Financial Quotient Porter, designed to combine textual and numerical data by using a multi-strategy data mining approach. ...
Event extraction (Xiang and Wang 2019) aims to extract structured event types and arguments from unstructured text. ...
arXiv:2204.11394v1
fatcat:txjno7q3arga7jlx7ukdfp636m
Modeling Financial Opinions
[chapter]
2021
SpringerBriefs in Computer Science
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This makes it possible for us to adopt the concept of supports and attacks from argument mining to evaluate the persuasiveness of the original post. ...
Simple market sentiment is used in the reports of other analysts, who use buy, hold, and sell to represent their market sentiments. ...
doi:10.1007/978-981-16-2881-8_2
fatcat:ormp5fvhxndojggvrwlvtmtrmq
Information aggregation and computational intelligence
2016
Evolutionary and Institutional Economics Review
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We argue that Web 2.0 economy may not be able to set us free from information overload problems that have long co-existed with the presence of markets. ...
We attribute this to the tacitness and subjectivity of knowledge and the recursive (feedback) characteristic of the sentiments. ...
He used a fixed point argument, more precisely, Brouwer's fixed point theorem for his argument. ...
doi:10.1007/s40844-016-0048-z
fatcat:x7m3gehye5fttchmib5pr24txi
Data Mining Methods and Techniques for Online Customer Review Analysis: A Literature Review
2021
Journal of system and management sciences
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Data mining tools can help to uncover the hidden knowledge in the large datasets and help in understanding customers in a better way. This paper reviews text mining basically online customer reviews. ...
Data mining is an older term but is gaining importance in today's world. It is an art of extracting hidden information from the large data sets. ...
Future research opportunities are abundant in this field as 80% of the data generated is in unstructured form, so it is important to extract useful insights from the unstructured data. ...
doi:10.33168/jsms.2021.0301
fatcat:dr5toeb6hvhrzd3h5pcmhvdmce
Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments (Dagstuhl Seminar 16161)
2016
Dagstuhl Reports
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This report documents the program and the outcomes of Dagstuhl Seminar 16161 "Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments", 17-22 April 2016. ...
recently born Argument Mining research area. 40 participants from 14 different countries took part in 7 sessions that included 30 talks, two tutorials, and a hands-on "unshared" task. ...
While reviews have been heavily exploited in the sentiment analysis field, there have been only few works on argumentation mining in this genre. ...
doi:10.4230/dagrep.6.4.80
dblp:journals/dagstuhl-reports/CabrioHVW16
fatcat:qycza5veojckzpnzpkdt5lrev4
Data Mining Methods and Techniques for Online Customer Review Analysis: A Literature Review
2021
Journal of system and management sciences
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Data mining tools can help to uncover the hidden knowledge in the large datasets and help in understanding customers in a better way. This paper reviews text mining basically online customer reviews. ...
Data mining is an older term but is gaining importance in today's world. It is an art of extracting hidden information from the large data sets. ...
Future research opportunities are abundant in this field as 80% of the data generated is in unstructured form, so it is important to extract useful insights from the unstructured data. ...
doi:10.33168/jsms.2021.0401
fatcat:ktzjspi47zaljg53wu7mu4u2su
The Influence of Home Buyer Sentiment on Chinese Housing Prices—— Based on Media Text Mining
2018
International Journal of Economics and Finance
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Taking Guangzhou as an example, this paper uses text mining method to extract media influence from media texts, and constructs the buyer confidence index, and uses it as a proxy variable for buyers' mental ...
, and concludes that buyers' sentiment is significantly positively correlated with house prices. ...
Research Methods This paper uses the text mining and multiple linear regression methods used by Soo (2013) to analyze the sentiment and real estate prices of buyers in Guangzhou. ...
doi:10.5539/ijef.v10n9p145
fatcat:lukoc24iv5a3nipaxptp74gh6u
Bringing Representativeness into Social Media Monitoring and Analysis
2013
2013 46th Hawaii International Conference on System Sciences
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The opinions, expectations and behavior of citizens are increasingly reflected online -therefore, mining the internet for such data can enhance decision-making in public policy, communications, marketing ...
Decision question: How can user-generated online data used to gauge and forecast economic sentiment? ...
Sentiment analysis for economic forecasting Decision problem: When setting interest rates, central banks study closely the sentiment towards the economy. ...
doi:10.1109/hicss.2013.120
dblp:conf/hicss/KascheskySHBASMGR13
fatcat:lpom73e6irb6rhe3gsvjnhekui
Mining Argumentative Structure from Natural Language text using Automatically Generated Premise-Conclusion Topic Models
2017
Proceedings of the 4th Workshop on Argument Mining
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This paper presents a method of extracting argumentative structure from natural language text. ...
These statements are then used to produce a matrix representing the inferential relationship between different aspects of the topic. ...
Argument mining has recently been enjoying rapid growth, propelled by three drivers: first, the academic and commercial success of opinion mining and sentiment analysis techniques upon which argument mining ...
doi:10.18653/v1/w17-5105
dblp:conf/argmining/LawrenceR17
fatcat:22ilavefdzhwre4ibk7u4entgq
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