Property:Has description
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This is a property of type Text.
T
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur euismod molestie suscipit. Quisque metus libero, vulputate sed consectetur elementum, molestie id mi. Aliquam tristique diam metus, eget tincidunt tortor aliquet sit amet. Vestibulum ac velit id lacus blandit hendrerit eu nec risus. Donec ac elementum nisi. Interdum et malesuada fames ac ante ipsum primis in faucibus. Nulla nec ipsum felis. Vestibulum neque diam, laoreet in mollis eget, vulputate at erat. Donec quis semper est, in condimentum quam. Pellentesque pulvinar semper est, ac condimentum massa adipiscing ut.
Sed pharetra ligula et posuere vulputate. Morbi ullamcrper auctor varius. Nulla eget nibh at ipsum convallis faucibus. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Sed sed turpis sagittis, viverra libero ac, lacinia ligula. +
tm package provides a framework for text mining applications within R. The tm package offers functionality for managing text documents, abstracts the process of document manipulation and eases the usage of heterogeneous text formats in R. The package provides native support for reading in several classic file formats such as plain text, PDFs, or XML files. There is also a plug-in mechanism to handle additional file formats. The data structures and algorithms can be extended to fit custom demands. +
Tropes is a free text-analysis(text mining) software . Tropes include its ability to carry out stylistic, syntactic and semantic analyses and to present the results in graph and table form. Tropes can yield information about a text such as stylistic/rhetorical analyses (argumentative, enunciative, descriptive or narrative style). It can also identify different word categories (verbs, connectors, personal pronouns, modalities, qualifying adjectives), conduct thematic analyses (reference fields), and detect discursive/chronological structures. +
Quote: We provide a tokenizer, a part-of-speech tagger, hierarchical word clusters, and a dependency parser for tweets, along with annotated corpora and web-based annotation tools. +
W
Web-Harvest is Open Source Web Data Extraction tool written in Java. It offers a way to collect desired Web pages and extract useful data from them. In order to do that, it leverages well established techniques and technologies for text/xml manipulation such as XSLT, XQuery and Regular Expressions. Web-Harvest mainly focuses on HTML/XML based web sites which still make vast majority of the Web content. On the other hand, it could be easily supplemented by custom Java libraries in order to augment its extraction capabilities. +
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
Weka 3.7 (still beta in oct. 2014) includes a package system, that allows to add functionality without recompiling the system. As of summer 2014, most people seem to use this developer version.
Weka is a very popular free data mining tool that includes advanced text mining features +