text mining Books
We've found 12 books tagged 'text mining' relevant to the field of humanlike conversational artificial intelligence.
| Subtitle: |
Synthesis Lectures on Human Language Technologies |
| Publisher: |
Morgan & Claypool Publishers
|
| Year: |
2012 |
| Order: |
http://www.cs.uic.edu/~liub/FB... |
Summary: Sentiment analysis and opinion mining is the field of study that analyzes people’s opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining,...
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10125
by Vijayan Sugumaran and Jon Atle Gulla |
| Publisher: |
CRC
|
| Year: |
2011 |
| Order: |
http://www.amazon.com/gp/produ... |
Summary: The rapid advancement of semantic web technologies, along with the fact that they are at various levels of maturity, has left many practitioners confused about the current state of these technologies. Focusing on the most mature technologies, Applied Semantic Web Technologies integrates theory with case...
Summary: This book analyses the shortcoming of existing methods for extracting information from web pages. Our analysis shows that existing methods use high level information from these web pages inefficiently, which ultimately degrades their objective performance. We develop a series of optimized extraction techniques which improve...
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10119
by Haralampos Karanikas |
Summary: In most companies and organisations valuable time and effort is wasted in ineffective searches through multiple information sources including web sites and other conventional sources. This problem of information overload is further exacerbated due to the unstructured format of the majority of the data. Text...
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10103
by Michael W. Berry and Jacob Kogan |
| Subtitle: |
Applications and Theory |
| Publisher: |
Wiley
|
| Year: |
2010 |
| Order: |
http://www.amazon.com/gp/produ... |
Summary: Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural...
Summary: Clustering is an important tool for many applications such as document clustering, gene expression analysis, etc. In many such cases, the data can be represented as a set of instances expressed by their attributes, in the form of a matrix. Clustering instances, such as documents,...
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10062
by Ludovic Lebart, André Salem and Lisette Berry |
| Publisher: |
Springer
|
| Year: |
2010 |
| Order: |
http://www.amazon.com/gp/produ... |
Summary: Researchers in a number of disciplines deal with large text sets requiring both text management and text analysis. Faced with a large amount of textual data collected in marketing surveys, literary investigations, historical archives and documentary data bases, these researchers require assistance with organizing, describing...
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9728
by Sholom M. Weiss, Nitin Indurkhya and Tong Zhang |
| Publisher: |
Springer
|
| Year: |
2010 |
| Order: |
http://www.amazon.com/Fundamen... |
Summary: One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining – the process of analyzing unstructured natural-language text – is concerned with how to extract information from these...
| Publisher: |
Wiley
|
| Year: |
2008 |
| Order: |
http://www.amazon.com/Practica... |
Summary: This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (http://www.perl.org). It covers mining ideas from several perspectives - statistics, data mining, linguistics, and information retrieval - and provides readers with the...
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9725
by Anne Kao and Stephen R. Poteet |
| Publisher: |
Springer
|
| Year: |
2007 |
| Order: |
http://www.amazon.com/Natural-... |
Summary: Natural Language Processing and Text Mining not only discusses applications of Natural Language Processing techniques to certain Text Mining tasks, but also the converse, the use of Text Mining to assist NLP. It assembles a diverse views from internationally recognized researchers and emphasizes caveats in...
