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Measuring the quality of unstructured text in routinely collected electronic health data: a review and application
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LEXICON BASED RULE EXTRACTION FOR SENTIMENT ANALYSIS UNDER BIG DATA ENVIRONMENT ...
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Abstract:
In today technology world, big data is generating from many sources like government, banks, social media, science, medical field and many others. This data is very much complex in terms of their properties and it requires some new tools and technologies to analyze. Sentiment analysis is the field of big data analysis which discovers the writer’s feeling and behaviour from his data. Behaviour of user can be analyzed as positive, negative or neutral. Lots of techniques can be used to do so. If beyond these polarities something can be done it will be very interesting. The main objective of this paper is to draw the next line in sentiment analysis under big data environment. That line is to fetch information like what groups of users want to say. That will be extracted on the basis of their strength. Here strength means the frequency of that information or rule. This research paper proposed a new approach which is an extension to lexicon method has been introduced to find the rule extraction which can help in ...
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Keyword:
Hadoop, Sentiment Analysis, Unstructured Data, Big Data, Rule Extraction
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URL: https://zenodo.org/record/3174896 https://dx.doi.org/10.5281/zenodo.3174896
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LEXICON BASED RULE EXTRACTION FOR SENTIMENT ANALYSIS UNDER BIG DATA ENVIRONMENT ...
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NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification
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Big Data Text Summarization: Using Deep Learning to Summarize Theses and Dissertations
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Face value of companies: deep learning for nonverbal communication ...
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Face value of companies: deep learning for nonverbal communication
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Supervised Process of Un-structured Data Analysis for Knowledge Chaining
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In: Procedia CIRP ; CIRP design conference ; https://hal.archives-ouvertes.fr/hal-01347030 ; CIRP design conference, KTH, Jun 2016, Stockholm, Sweden. pp.436-441, ⟨10.1016/j.procir.2016.04.123⟩ ; http://cirpdesign2016.org/ (2016)
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Leveraging Lexical Link Analysis (LLA) To Discover New Knowledge
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In: Military Cyber Affairs (2016)
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A Corpus Driven Computational Intelligence Framework for Deception Detection in Financial Text
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Sentiment Big Data Flow Analysis by Means of Dynamic Linguistic Patterns
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Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
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In: DTIC (2013)
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Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
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In: DTIC (2013)
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Applications of Lexical Link Analysis Web Service for Large-Scale Automation, Validation, Discovery, Visualization, and Real-Time Program Awareness
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In: DTIC (2012)
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System Self-Awareness and Related Methods for Improving the Use and Understanding of Data within DoD
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Collective knowledge systems: Where the social web meets the semantic web
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In: http://www.websemanticsjournal.org/papers/2007119/CollectiveKnowledgeSystemsGruberV6I1.pdf (2008)
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A conceptual-modeling approach to extracting data from the web
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In: http://www.deg.byu.edu/papers/er98.pdf (1998)
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A Conceptual-Modeling Approach to Extracting Data from the Web
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In: http://osm7.cs.byu.edu/deg/papers/er98.ps (1998)
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A Conceptual-Modeling Approach to Extracting Data from the Web
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In: http://lantern.cs.byu.edu/papers/er98.ps (1998)
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