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June 2010
HPDC '10: Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4, Downloads (12 Months): 24, Downloads (Overall): 212
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Automated analysis of unstructured text documents (e.g., web pages, newswire articles, research publications, business reports) is a key capability for solving important problems in areas including decision making, risk assessment, social network analysis, intelligence analysis, scholarly research and others. However, as data sizes continue to grow in these areas, scalable ...
Keywords:
text analysis
Keywords:
text analysis
Abstract:
... collections becomes essential. In this paper, we present the ParaText text analysis engine, a distributed memory software framework for processing, modeling, and ...
References:
}}M. T. Egner, M. Lorch, and E. Biddle. Uima grid: Distributed large-scale text analysis. In Proc. of the 7th IEEE International Symposium on Cluster Computing and the Grid, pages 317--326, Washington, DC, USA, 2007. IEEE Computer Society.
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... oftext collections becomes essential. In this paper, we presentthe ParaText text analysis engine, a distributed memorysoftware framework for processing, modeling, and analyzingcollections ... work is to investigate the use of distributedmemory architectures for text analysis and modeling. Wedescribe the components of the ParaText system and ...
... T. Egner, M. Lorch, and E. Biddle. Uima grid:Distributed large-scale text analysis. . In Proc. of the7th IEEE International Symposium on ClusterComputing ...
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May 2013
WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 4, Downloads (12 Months): 37, Downloads (Overall): 217
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Citizens, news reporters, relief organizations, and governments are increasingly relying on the Social Web to report on and respond to disasters as they occur. The capability to rapidly react to important events, which can be identified from high-volume streams even when the sources are unknown, still requires precise localization of ...
Keywords:
geolocation analysis, microblog, text analysis
Keywords:
text analysis
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... and Behavioral Sciences. General Terms Experimentation Keywords Microblog, geolocation analysis, text analysis. . 1. INTRODUCTION The Social Web is becoming a prevalent ...
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April 2012
WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 16
Downloads (6 Weeks): 6, Downloads (12 Months): 75, Downloads (Overall): 600
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In order to sense and analyze disaster information from social media, microblogs as sources of social data have recently attracted attention. In this paper, we attempt to discover geolocation information from microblog messages to assess disasters. Since microblog services are more timely compared to other social media, understanding the geolocation ...
Keywords:
geolocation estimation, microblog, text analysis
Keywords:
text analysis
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April 2017
WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2, Downloads (12 Months): 8, Downloads (Overall): 8
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One of the problems a requester faces when crowdsourcing a microtask is that, due to the underspecified or ambiguous task description, workers may misinterpret the microtask at hand. We call a set of such interpretations worker viewpoints . In this paper, we argue that assisting requesters to gather a worker's ...
Keywords:
text analysis, crowdsourcing, data quality
Keywords:
text analysis
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May 2016
CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 7, Downloads (12 Months): 68, Downloads (Overall): 90
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To form and test hypotheses and finally produce conclusions, people use existing schemas to search a pool of data for evidence. The quality of the search largely depends on the quality of connections between the schemas and the data. Making good connections between schemas and unprocessed data is challenging because ...
Keywords:
history, sensemaking, text analysis, crowdsourcing
Keywords:
text analysis
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... of context facilitating the sensemaking process. Author Keywords sensemaking; crowdsourcing; text analysis; ; history. Permission to make digital or hard copies of ...
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February 2017
WSDM '17: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 30, Downloads (12 Months): 155, Downloads (Overall): 155
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Latent Dirichlet Allocation (LDA) is an extremely popular probabilistic topic model used for a diverse class of appications. While highly effective, one important limitation of LDA is the high memory footprint of its inferencing algorithm, making it difficult to scale to a large dataset. In my thesis, I propose sdLDA, ...
Keywords:
topic model, scalability, text analysis
Title:
Scalable Text Analysis
Keywords:
text analysis
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July 2011
SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1, Downloads (12 Months): 18, Downloads (Overall): 623
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Search is generally a means to the end of finishing a task. While the current search engines are useful to users for finding relevant information, they offer little help to users for further digesting and analyzing the overwhelming found information needed for finishing a complex task. In this talk, I ...
Keywords:
statisical topic models, text analysis
Title:
Beyond search: statistical topic models for text analysis
Keywords:
text analysis
Full Text:
... Word - kn11cz-zhai.docKeynote Talk Beyond Search: Statistical Topic Models for Text Analysis ChengXiang Zhai Department of Computer Science University of Illinois at ...
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April 2014
WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2, Downloads (12 Months): 20, Downloads (Overall): 120
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Writing is a vital issue for education as well as a fundamental skill in teaching and learning. With the development of information technologies, more and more professional writing tools emerge. As each of them mostly concentrates on addressing a specific issue, people need a one-stop platform, which could integrate multiply ...
Keywords:
education, language technologies, text analysis
Keywords:
text analysis
Abstract:
... point out grammar and spelling errors. While the second group, Text Analysis, , offers document analysis results, which enables students to achieve ... detection, citation analysis, and sentiment analysis are included in the Text Analysis.
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... point out grammar and spelling errors. While the sec-ond group, Text Analysis, , o?ers document analysis results,which enables students to achieve further ... the Text Analysis.Categories and Subject DescriptorsI.2.7 [Arti?cial Intelligence]: Natural Language Process-ing?text analysis; ; I.7.1 [Document and Text Process-ing]: Document and Text Editing?spelling ... suggestionservice including grammar and spelling checking; (3) Lexa-lytics3 focuses on text analysis such as keyword extractionand sentiment analysis.Despite the diversity of text ...
... we draw the conclusionin Section 5.2. RELATED WORKThere are many text analysis and writing tools availablein the market. TopTenReviews4 has reviewed services ... TextAnalysis9 and Wikipedia10 lista rich collection of tools for advanced text analysis and textmining. This software, such as Lexalytics11, process un-structured texts ... when they are generating professional docu-ments, while the second group, Text Analysis, , analyzes thewritten documents in order to further improve their ...
... writing and formatting, and grammarand spelling checking. The second group, Text Analysis, ,o?ers document analysis results. Readability assessment,similarity detection, citation analysis and ... detection, citation analysis and sentiment analy-sis are included in the Text Analysis. . Nevertheless, the e-learning ecosystem for education are multi-disciplinary andkept ...
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May 2013
WebSci '13: Proceedings of the 5th Annual ACM Web Science Conference
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 9, Downloads (12 Months): 50, Downloads (Overall): 269
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There is now a small but growing literature showing some relationship between sentiment contained within blogs, online news article and message boards and price movements in financial markets. Typically, researchers use keyword searching to find financially relevant messages, then rate them in terms of their how positive or negative the ...
Keywords:
finance, sentiment analysis, text analysis
Keywords:
text analysis
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... that would benefit inclusion in future models. Author Keywords Finance; Text Analysis; ; Sentiment Analysis. ACM Classification Keywords H.3.1. Content Analysis and ...
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March 2008
SAC '08: Proceedings of the 2008 ACM symposium on Applied computing
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3, Downloads (12 Months): 15, Downloads (Overall): 337
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This work investigates the use of keywords and classes to represent user's profiles in order to improve a content-based recommender system. The techniques were implemented and tested in a recommender system for a website that gathers commercial ads. Ads are posted by individuals and contain a title and a textual ...
Keywords:
ontologies, classification, text analysis, recommender systems
Keywords:
text analysis
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October 2012
CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5, Downloads (12 Months): 15, Downloads (Overall): 149
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Two dimensional contingency tables or co-occurrence matrices arise frequently in various important applications such as text analysis and web-log mining. As a fundamental research topic, co-clustering aims to generate a meaningful partition of the contingency table to reveal hidden relationships between rows and columns. Traditional co-clustering algorithms usually produce a ...
Keywords:
co-clustering, text analysis, contingency table, entropy
Keywords:
text analysis
Abstract:
... co-occurrence matrices arise frequently in various important applications such as text analysis and web-log mining. As a fundamental research topic, co-clustering aims ...
Full Text:
... INTRODUCTION.Two dimensional contingency table arises frequently in variousapplications such as text analysis and web-log mining. Co-clusteringPermission to make digital or hard copies ...
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December 2004
ACM SIGKDD Explorations Newsletter: Volume 6 Issue 2, December 2004
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 2, Downloads (12 Months): 6, Downloads (Overall): 501
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With large amounts of text data now available on-line, both on the Internet and in corporate repositories, text mining is an area of growing interest. Historically, Data Mining researchers have come out of the statistics, database and machine learning communities. Despite a few exceptions, it has by and large had ...
Keywords:
natural language processing, text analysis, text mining
Keywords:
text analysis
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... not borne this out. Keywords Text Mining, Natural Language Processing, Text Analysis. . 1. INTRODUCTION Natural Language Processing (NLP) has been around ...
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September 2014
i-KNOW '14: Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1, Downloads (12 Months): 9, Downloads (Overall): 38
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Semantic similarity measurement aims to determine the likeness between two text expressions that use different lexicographies for representing the same real object or idea. In this work, we describe the way to exploit broad cultural trends for identifying semantic similarity. This is possible through the quantitative analysis of a vast ...
Keywords:
data integration, semantic similarity, text analysis
Keywords:
text analysis
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July 2006
GECCO '06: Proceedings of the 8th annual conference on Genetic and evolutionary computation
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0, Downloads (12 Months): 3, Downloads (Overall): 164
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There exists an enormous amount of information available via the Internet. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are vitally important to the scientific, business, and defense/security communities. Currently, there are a many techniques for processing and analyzing ...
Keywords:
intelligent agents, parallel genetic algorithm, text analysis
Keywords:
text analysis
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... Text Processing]: General General Terms Algorithms, Performance, Design, Experimentation Keywords Text analysis, , parallel genetic algorithm, intelligent agents. 1. INTRODUCTION The focus ...
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April 2005
CHI EA '05: CHI '05 Extended Abstracts on Human Factors in Computing Systems
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 1, Downloads (12 Months): 6, Downloads (Overall): 354
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We present a search interface for large video collections with time-aligned text transcripts. The system is designed for users such as intelligence analysts that need to quickly find video clips relevant to a topic expressed in text and images. A key component of the system is a powerful and flexible ...
Keywords:
keyframe collages, text analysis, video search
Keywords:
text analysis
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November 2008
CSCW '08: Proceedings of the 2008 ACM conference on Computer supported cooperative work
Publisher: ACM
Bibliometrics:
Citation Count: 12
Downloads (6 Weeks): 9, Downloads (12 Months): 60, Downloads (Overall): 1,004
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Emotion is central to human interactions, and automatic detection could enhance our experience with technologies. We investigate the linguistic expression of fine-grained emotion in 50 and 200 word samples of real blog texts previously coded by expert and naive raters. Content analysis (LIWC) reveals angry authors use more affective language ...
Keywords:
affect, emotion, blogs, language, text analysis
Keywords:
text analysis
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... perception and note potential computational applications. Author Keywords Blogs, language, text analysis, , emotion, affect. ACM Classification Keywords H.5.m [Information Interfaces and ...
Anger, Surprise, and Anticipation. Text Analysis Techniques The LIWC [13] content analysis tool was previously used ...
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October 2016
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 25, Downloads (12 Months): 321, Downloads (Overall): 321
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Developing text classifiers often requires a large number of labeled documents as training examples. However, manually labeling documents is costly and time-consuming. Recently, a few methods have been proposed to label documents by using a small set of relevant keywords for each category, known as dataless text classification . In ...
Keywords:
dataless text classification, text analysis, topic modeling
Keywords:
text analysis
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June 2010
HT '10: Proceedings of the 21st ACM conference on Hypertext and hypermedia
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2, Downloads (12 Months): 6, Downloads (Overall): 138
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We live in a world where networks of people mingle with networks of documents, creating networks of ideas that are linked to the people and documents that subscribe to them. New tools are being created that facilitate the interactions between these networks, greatly expanding the role of hypertext as a ...
Keywords:
visualization, web 2.0, collaboration, text analysis
Keywords:
text analysis
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October 2004
SIGDOC '04: Proceedings of the 22nd annual international conference on Design of communication: The engineering of quality documentation
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 2, Downloads (12 Months): 7, Downloads (Overall): 420
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Coh-Metrix is a web-based application currently in development that automatically evaluates text. It uses two central concepts from discourse processing: text-based cohesion and situation-model based coherence. Cohesion is the degree to which components of the text are linked. Coherence is the representation of the world that the text conveys. Our ...
Keywords:
text analysis, writing tools, document evaluation, cohesion
Keywords:
text analysis
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... sciences, psychology General Terms Algorithms, Documentation. Keywords Cohesion; document evaluation, text analysis, , writing tools. 1. INTRODUCTION What distinguishes poor writing from ...
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December 2014
iiWAS '14: Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4, Downloads (12 Months): 16, Downloads (Overall): 53
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The semantic annotation of textual content is important for the success of many information integration systems. In this paper, we present a method for generating semantic annotations about transfer in football news. Semantic web technologies are applied to extend the knowledge base of KIM platform so that named entities in ...
Keywords:
text analysis, ontology, semantic annotation, Semantic web
Keywords:
text analysis
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... Representation languages I.2.6 [Learning]: Knowledge acquisition I.2.7 [Natural Language Processing]: Text analysis General Terms Algorithms, Management, Design. Keywords Semantic web, ontology, semantic ... Terms Algorithms, Management, Design. Keywords Semantic web, ontology, semantic annotation, text analysis. . 1. INTRODUCTION Nowadays, the news from different sources is ...
... be limited to as little as possible. Certain studies on text analysis use ontology to improve the quality of entity recognition. OntoText ...
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