Top 27 Free Software for Text Analysis, Text Mining, Text Analytics
Top 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 27+ Free Software for Text Analysis, Text Mining, Text Analytics include General Architecture for Text Engineering – GATE, RapidMiner Text Mining Extension, KH Coder, VisualText, Datumbox, TAMS, QDA Miner Lite, Carrot2, CAT, GATE, tm, Gensim, Natural Language Toolkit, Unstructured Information Management Architecture, OpenNLP, KNIME, Orange-Textable, LPU, Apache Mahout, Pattern, LingPipe, S-EM, LibShortText, Twinword, Apache Stanbol, Aika, Distributed Machine Learning Toolkit and Coh-Metrix. These are some of the key vendors who provides open source text analytics software. The text analysis applications scan a set of documents written in a natural language. These applications model the document set for predictive classification purposes or populate a database or search index with the information extracted.
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What is Text Analysis, Text Mining, Text Analytics
Text Analytics is the process of converting unstructured text data into meaningful data for analysis, to measure customer opinions, product reviews, feedback, to provide search facility, sentimental analysis and entity modeling to support fact based decision making. Text analysis software uses many linguistic, statistical, and machine learning techniques.
Free Text Analysis, Text Mining, Text Analytics Software: Trending
Top Free Software for Text Analysis, Text Mining, Text Analytics
General Architecture for Text Engineering – GATE, RapidMiner Text Mining Extension, KH Coder, VisualText, Datumbox, TAMS, QDA Miner Lite, Carrot2, CAT, GATE, tm, Gensim, Natural Language Toolkit, Unstructured Information Management Architecture, OpenNLP, KNIME, Orange-Textable, LPU, Apache Mahout, Pattern, LingPipe, S-EM, LibShortText, Twinword, Apache Stanbol, , Aika, Distributed Machine Learning Toolkit and Coh-Metrix are some of the top Free Text Analysis, Text Mining, Text Analytics Software.
General Architecture for Text Engineering – GATE
Sisense empower the most non-technical user with the ability to access data and build interactive dashboards and business intelligence reports. Sisense provides a variety of dashboard widgets to pinpoint the best visualization for your data, such as: geographical maps, gauges to measure KPIs, line charts to determine trends, scatter plots to see correlations, and pie charts for clear comparisons.Sisense enables to customize dashboard layout with drag-and-drop features to place each widget exactly where you want for optimal representation.
RapidMiner Text Mining Extension
RapidMiner is an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics. The Text Processing Extension provides data and text mining software. RapidMiner is an open source data mining framework, which offers many operators that can be formed together into a process. A graphical user interface (GUI) allows to connect the operators with each other in the process view. The major function of a process is the analysis of the data which is retrieved at the beginning of the process. There are many packages available for RapidMiner, such as text processing, Weka extension, parallel processing, web mining, reporting extension, series processing, PMML, community, and R extension packages.
KH Coder is an application for quantitative content analysis, text mining or corpus linguistics. It can handle Japanese, English, French, German, Italian, Portuguese and Spanish language data. By inputting the raw texts the searching and statistical analysis functionalities like KWIC, collocation statistics, co-occurrence networks, self-organizing map, multidimensional scaling, cluster analysis and correspondence analysis can be utilized.KH Coder provides various kinds of search and statistical analysis functions using back-end tools such as Stanford POS Tagger, Snowball stemmer, MySQL and R.KH Coder is a free software for quantitative content analysis or text data mining. KH Coder can also be utilized for computational linguistics. KH Coder can also analyze Japanese, English, French, German, Italian, Portuguese and Spanish texts. The input raw texts, can utilize searching and statistical analysis functionalities like KWIC, collocation statistics, co-occurrence networks, self-organizing map, multidimensional scaling, cluster analysis and correspondence analysis.
VisualText is the premier integrated development environment for building information extraction systems, natural language processing systems, and text analyzers. It features NLP++ — a new C++ -like programming language for quickly elaborating grammars, patterns, heuristics, and knowledge. VisualText is the premier integrated development environment for building information extraction systems, natural language processing systems, and text analyzers. VisualText IDE (Integrated Development Environment) can be used to automatically populate databases with the critical content now buried in textual documents. VisualText has been used to build a number of applications, including accurate analyzers for extracting information from resumes, systems that categorize web pages, an analyzer that monitors a financial transaction chat, email analyzers, selective web spiders, and more. VisualText is a unique integrated development environment (IDE) for developing text analyzers. It tightly integrates our revolutionary NLP++ programming language for rapid…
Datumbox API offers a large number of off-the-shelf Classifiers and Natural Language Processing services which can be used in a broad spectrum of applications including: Sentiment Analysis, Topic Classification, Language Detection, Subjectivity Analysis, Spam Detection, Reading Assessment, Keyword and Text Extraction and more. Datumbox offers a Machine Learning platform composed of 14 classifiers and Natural Language processing functions. Functions include sentiment analysis, topic classification, readability assessment, language detection, and much more. The Datumbox API provides developer access using REST-like RPC-style operations over HTTP POST requests. The API accesses all of the platform functions. Responses are JSON formatted. Access requires a user account and API Key. Datumbox API is a web service which allow to use tools from the website, software or mobile application. The API gives access to all of the supported functions of Datumbox service. Datumbox Web Service uses “REST-Like” RPC-style operations…
TAMS Analyzer for Macintosh OS X is a convention for identifying themes in texts such as web pages, interviews, field notes. It was designed for use in ethnographic and discourse research. TAMS Analyzer is a program that works with TAMS to assign ethnographic codes to passages of a text just by selecting the relevant text and double clicking the name of the code on a list. It then allows to extract, analyze, and save coded information. TAMS stands for Text Analysis Markup System. It is a convention for identifying themes in texts (web pages, interviews, field notes). It was designed for use in ethnographic and discourse research. TAMS Analyzer is a program that works with TAMS to let you assign ethnographic codes to passages of a text just by selecting the relevant text and double clicking the name of the code on a list. It then allows you to extract, analyze, and save coded information. TAMS Analyzer is open source; it is released under GPL v2. The Macintosh version of the program also includes full support…
QDA Miner Lite
QDA Miner Lite is a free computer assisted qualitative analysis software from Provalis Research. It can be used for the analysis of textual data such as interview and news transcripts, open ended responses, as well as for the analysis of still images. It offers basic CAQDAS features such as, importation of documents from plain text, RTF, HTML, PDF as well as data stored in Excel, MS Access, CSV, tab delimited text files. 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, coding retrieval with Boolean and proximity operators, export tables to XLS, Tab Delimited, CSV formats, and Word format and export graphs to BMP, PNG, JPEG, WMF formats.
Carrot2 does text and search results clustering frame work. It can automatically cluster small collections of documents, search results or document abstracts into thematic categories. Its an open source search results Clustering Engine. Apart from two specialized search results clustering algorithms, Carrot also offers ready to use components for fetching search results from various sources such as including GoogleAPI, Bing API, eTools Meta Search, Lucene, SOLR, and more.
CAT is a free service of the Qualitative Data Analysis Program, which efficiently code raw text data sets, annotate coding with shared memos, manage team coding permissions via the Web, create unlimited collaborator sub-accounts and assign multiple coders to specific tasks. CAT, easily measure inter-rater reliability, adjudicate valid & invalid coder decisions,report validity by dataset, code or coder and export coding in RTF, CSV or XML format.
10.tm (Text Mining Infrastructure in R)
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.
Gensim is a Python library which provides scalable statistical semantics, analyze plain text documents for semantic structure and retrieve semantically similar documents. The algorithms in gensim, such as Latent Semantic Analysis, Latent Dirichlet Allocation or Random Projections, discover semantic structure of documents, by examining word statistical co-occurrence patterns within a corpus of training documents. These algorithms are unsupervised.
12.Natural Language Toolkit (NLTK)
Natural Language Toolkit (NLTK) is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for the Python programming language. 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. NLTK is available for Windows, Mac OS X, and Linux.
13.Unstructured Information Management Architecture (UIMA)
Unstructured Information Management Architecture (UIMA) is a component framework to analyze unstructured content such as text, audio and video. This is originally developed by IBM.
UIMA enables applications to be decomposed into components, for example “language identification” => “language specific segmentation” => “sentence boundary detection” => Each component implements interfaces defined by the framework and provides self describing metadata via XML descriptor files. Also provides capabilities to wrap components as network services, and can scale to very large volumes by replicating processing pipelines over a cluster of networked nodes.
The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services.
15. KNIME Text Processing
The KNIME Text processing feature enables to read, process, mine and visualize textual data in a convenient way. It provides functionality from natural language processing (NLP), text mining and information retrieval.
Textable is an add-on for Orange data mining software package. It enables users to build data tables on the basis of text data, by means of a flexible and intuitive interface. It offers in particular the following features such as import text data from various sources, apply systematic recoding operations, apply analytical processes such as segmentation and annotation, manually, automatically or randomly select unit subsets and build concordances and collocation lists.
LPU is Learning from Positive and Unlabeled data. LPU is a text learning or classification system that learns from a set of positive documents and a set of unlabeled documents, without labeled negative documents. This type of learning is different from classic text learning/classification, in which both positive and negative training documents are required.
Apache Mahout is a project of the Apache Software Foundation with the objective of creating scalable machine learning algorithms that are free to use under the Apache license. Mahout contains implementations for clustering, categorization and collaborative filtering. The implementation can be on the top of Apache Hadoop using the map/reduce paradigm. The three use cases which are supported are, recommendation mining, which takes users behavior and from that tries to find items users might like. Clustering which takes the text documents and groups them into groups of topically related documents. Classification which learns from existing categorized documents on what documents of a specific category look like and assign unlabelled documents to the correct category.
Pattern is a web mining module for the Python programming language which provide tools for data mining: Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser, natural language processing: part-of-speech taggers, n-gram search, sentiment analysis, WordNet, machine learning: vector space model, clustering, SVM, network analysis and canvas visualization.
LingPipe is tool kit for processing text using computational linguistics. LingPipe is used to do tasks like finding the names of people, organizations or locations in news, automatically classify Twitter search results into categories and suggest correct spellings of queries. LingPipe is Java API with source code and unit tests and multi-lingual, multi-domain, multi-genre models.
S-EM is a text learning or classification system that learns from a set of positive and unlabeled examples with no negative examples. It is based on a “spy” technique, naive Bayes and EM algorithm.
LibShortText is an open source tool for short-text classification and analysis. LibShortText can handle the classification of titles, questions, sentences, and short messages. It is more efficient than general text-mining packages. On a typical computer, processing and training 10 million short texts takes only around half an hour. An interactive tool for error analysis is included. Based on the property that each short text contains few words, LibShortText provides details in predicting each text.
Twinword provides text analysis APIs that can understand and associate words in the same way as humans do. Features include context and topic extraction ,online consumer sentiment analysis for brands and products and personalized and targeted e-commerce/advertising platforms.
Apache Stanbol provides a set of reusable components for semantic content management to extend traditional content management systems with semantic services. Other use cases includes direct usage from web applications for tag extraction/suggestion; or text completion in search fields, ‘smart’ content workflows or email routing based on extracted entities, topics, etc.
Aika is a text-mining algorithm. It combines various ideas from the field of machine learning such as artificial neuronal networks, frequent pattern mining and grammar induction. Aika does not use a predefined dictionary, so the goal is to derive the syllables and their occurrences within words from raw text.
26.Distributed Machine Learning Toolkit
Distributed Machine Learning Toolkit is a flexible framework that supports unified interface for data parallelization, hybrid data structure for big model storage, model scheduling for big model training, and automatic pipelining for high training efficiency.
Coh-Metrix is a system for computing computational cohesion and coherence metrics for written and spoken texts. Coh-Metrix allows readers, writers, educators, and researchers to instantly gauge the difficulty of written text for the target audience.
You may also like to review the Text Analysis, Text Mining, Text Analytics proprietary software list:
Top software for Text Analysis, Text Mining, Text Analytics
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Top Qualitative Data Analysis Software
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Free Text Analysis, Text Mining, Text Analytics Software at a Glance
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