Top 5 Text Analysis & Text Mining Software
Top 20 Free Software for Text Analysis, Text Mining, Text Analytics : Text Analytics is the process of converting unstructured text data into meaningful data. List of the Top 20+ Free Software for Text Analysis, Text Mining, Text Analytics include QDA Miner Lite, KH Coder, TAMS Analyzer, Carrot2, CAT, GATE, tm, Gensim, Natural Language Toolkit, RapidMiner, Unstructured Information Management Architecture, OpenNLP, KNIME, Orange-Textable, LPU, Apache Mahout, Pattern, LingPipe, S-EM and LibShortText. These are some of the key vendors who provides open source text analytics software in no particular order.
Scanning set of documents is great working in a natural language. Model of application for multi-page document connected to predictive classification purposes or populate a database or search index with the information extracted. Office 365 Implementation Solutions for text recognizing have perfect.
You may also like to review the Text Analysis, Text Mining, Text Analytics proprietary software list. Here is a list of some of the open source – Top 5 Free Software for Text Analysis, Text Mining, Text Analytics.
1. QDA Miner Lite
Qualitative Analysis software QDA Miner Lite is free. Company Provalis Research made great product for analysis of textual data such as interview and news transcripts, open ended responses, as well as for the analysis of still images. Import documents from CSV, Excel, MS Access and HLTM, text, pdf. Features also include importation from other qualitative coding software, intuitive coding using codes organized in a tree structure, ability to add comments (or memos) to coded segments, cases or the whole project.
The software also has functionalities for fast Boolean text search tool for retrieving and coding text segments, code frequency analysis with bar chart, pie chart and tag clouds. Have coding retrieval with Boolean and proximity operators, export tables to XLS, CSV formats, Tab Delimited,, and Word format and export graphs to PNG, BMP, WMF, JPEG, formats.
2. Natural Language Toolkit
NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum.
3. Carrot 2
Carrot 2 is an Open Source Search Results Clustering Engine. It can automatically organize small collections of documents (search results but not only) into thematic categories. Apart from two specialized document clustering algorithms, Carrot 2 offers ready-to-use components for fetching search results from various sources including GoogleAPI, Bing API, eTools Meta Search, Lucene, SOLR, and more.
4. TM - Text Mining Package
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 has integrated database back-end support to minimize memory demands. An advanced meta data management is implemented for collections of text documents to alleviate the usage of large and with meta data enriched document sets.
The package provides native support for reading in several classic file formats (e.g. 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, since the package is designed in a modular way to enable easy integration of new file formats, readers, transformations and filter operations.
Unstructured Information Management applications are software systems that analyze large volumes of unstructured information in order to discover knowledge that is relevant to an end user. An example UIM application might ingest plain text and identify entities, such as persons, places, organizations; or relations, such as works-for or located-at.