Textual analysis of the data set
Textual Emigration Analysis (TEA)
... Emigration Analysis) as a showcase that applies textual analysis for the ...individual textual sources, which can be downloaded by the ...large set of documents to extract information ...
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Collaborative bug triaging using textual similarities and change set analysis
... platform, currently the Microsoft Team Foundation Server, and storing them in our data model. Our prototypical implementa- tion has a Work Item Service that retrieves and automatically synchronizes bug reports ...
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Textual Data Analysis tools for Word Sense Disambiguation
... automatic analysis of documentary data ...an analysis of collocations, here we focus our attention on identifying the context, in a data driven ...on Textual Data Analysis ...
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Analysis of Textual and Non-Textual Sources of Sentiment in Github
... this data was a prime choice to use to train sentiment ...diverse set of of six social websites, namely MySpace, Youtube, Digg, Twitter, BBC Forums and Runners ...
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Opening up to Big Data: Computer-Assisted Analysis of Textual Data in Social Sciences
... the analysis of qualitative data, they have been largely ignored over a long time and still are not very common outside the Francophone ...qualitative data analysis ...his/her data ...
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A unified data mining solution for authorship analysis in anonymous textual communications
... The third problem of authorship analysis is to determine the character- istics of the authors of a given set of anonymous text messages. Unlike the previous two problems that have training samples, there ...
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Content-aware Partial Compression for Big Textual Data Analysis Acceleration
... text-based data has become increasingly important due to the importance of text from sources such as social media, web contents, web ...such data creates challenges for data analysis including ...
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A Unified Data Mining Solution for Authorship Analysis in Anonymous Textual Communications
... The third problem of authorship analysis is to determine the character- istics of the authors of a given set of anonymous text messages. Unlike the previous two problems that have training samples, there ...
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Content-aware Partial Compression for Textual Big Data Analysis in Hadoop
... a set of records to a Mapper at a ...input data. It works by reading a fixed-size block of data (L2-Block, the size of L2- Block is ...of data will be decompressed in-memory and then forwarded ...
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Playing textual analysis as music
... Using textual analysis data generated from text documents by the Posit tools, we applied our prototype Playtext system to produce sets of musical interpretations in each of the two melody ...
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Sentimental classification analysis of polarity multi-view textual data using data mining techniques
... 3.1.3. Naive bayes and decision trees (J48) algorithms for classification In this stage, two different classifiers, in particular decision trees (J48) and naive bayes classification algorithms are compared and applied in ...
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@AM: Textual Attitude Analysis Model
... total 868 total 997 Table 3. Label distributions in the “gold standards”. 5.2 Results After processing each sentence from the data set by our system, we measured averaged accuracy, pre- cision, recall, and ...
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Trends Tool, a tool for abstract textual data analysis used for additive manufacturing trend
... All the choices in constructing the concept network are based on reading through the data set by the analyst. In these choices, a balance between measurability and going into detail as much as possible is ...
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Textual Analysis of Unstructured Medical Data
... ABSTRACT Textual analysis helps researchers to gather information which depends up on how humans feel the ...is textual analysis for those analyst who need to know the methods in which ...
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Discovery and analysis of advertisements from textual data
... and analysis of advertisements from textual data Author: Kristjan Piˇ culin For my thesis i made a program, that recognizes if a web article is a pai advertisement or if it is a real news article and ...
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Textual Analysis
... Lines 1 & 3 rhyme in every verse This creates a set rhythmic pattern, particularly in conjunction with the rhyme scheme. It also breaks the poem up into four clear sections, or parts of the ‘story’. However, the ...
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Content-aware compression for big textual data analysis
... for data with reasonable size and the achievement on compression ratio is relatively ...source data contains Unicode characters, the algorithm for decompression may fail due to the fact that the Unicode ...
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Textual analysis in finance
... Resumo Esta tese ´ e composta por trˆ es estudos que tˆ em como objetivo estudar o impacto da m´ıdia escrita no mercado acion´ ario. No primeiro estudo, fazemos uma pesquisa acer- ca dos trabalhos que utilizam an´ alise ...
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IC: a textual analysis
... “knowledge as capital” metaphor stem from the industrial age. This raises an important question, namely do we need to develop new metaphors in order to conceptualise knowledge better? As metaphors also have political ...
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Learning to Generate Textual Data
... generate data by modifying existing training samples, or “go wild” and derive a full probabilistic context-free grammar that could possibly generate unnatural examples and add noise to the estimator? While we do ...
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