Tools

Visualization

Alteryx

Alteryx is an online commercial data analysis service. Among its capabilities are optical character recognition, sentiment analysis, and topic modeling with Text Mining. You can quickly build predictive models without coding through its intuitive graphical user interface. It has many visualisation options among which is the word cloud.

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Alveo

Alveo is a platform for data discovery and analysis focused on communication data such as speech, text or video. Developed by the University of Western Sydney, researchers can use the Alveo infrastructure to store data, create collections, develop workflows, and analyze datasets with Alveo's built-in tools. The tools available span multiple disciplines and include common functions such as tokenization and concordance, plus interfaces between Alveo and other common analysis tools such as Apache's UIMA for NLP, and with programming languages such as Python and Java. Users can segmented and recombined data from multiple collections into a new, focused dataset for close analysis. Collection creators can set their own license and access rights, and users of a collection must accept the creator's conditions in order to use data from it. User accounts are free, but must be requested from and approved by Alveo.

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Natural Language Processing

Amazon Comprehend

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data. The service identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; analyzes text using tokenization and parts of speech; and automatically organizes a collection of text files by topic. You can also use AutoML capabilities in Amazon Comprehend to build a custom set of entities or text classification models that are tailored uniquely to your organization’s needs.

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Natural Language Processing

Apache Open NLP

Apache OpenNLP is a free, open source toolkit for processing natural language text, based on machine learning. It includes common natural language processing functions such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution.

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Apache UIMA

Apache UIMA (Unstructured Information Management application) is a software system for analyzing large amounts of unstructured data, such as a plain text document, and identifying entities, such as persons, places, organizations, or relations between entities. Discrete components (written in Java or C++) may be used within the application, such as language identification or entitiy detection. Each component provides self-describing metadata via XML descriptor files.

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Natural Language Processing

ASV Online Toolbox

ASV Toolbox is a modular collection of tools for the exploration of written language data. They work either on word lists or text and solve several linguistic classification and clustering tasks. The topics covered contain language detection, POS-tagging, base form reduction, named entity recognition, and terminology extraction. On a more abstract level, the algorithms deal with various kinds of word similarity, using pattern based and statistical approaches. The collection can be used to work on large real world data sets as well as for studying the underlying algorithms.

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Natural Language Processing

Attensity

Text analytic and data extraction framework: data and semantic analytics in a suite of business applications.

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Natural Language Processing

Automatic Mapping Among Lexico-Grammatical Annotation Models (AMALGAM)

Automatic Mapping Among Lexico-Grammatical Annotation Models (AMALGAM) is a free, longstanding tool for tagging text according to part of speech (PoS) from Leeds University. It includes eight PoS tag schemes, and a Multi-Tagged Corpus of samples tagged with various schemas.

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Natural Language Processing

AUTOSTYL

AUTOSTYL was a set of linked programs for stylistic analysis developed by Louis T. Milic in the 1980s. Its functions included frequency distributions for letters in words, syllable countering, affix analysis, indexing, and word classification.

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Natural Language Processing

Basis Technology

Basis provides natural language processing technology for the analysis of unstructured multilingual text. It can do sentiment analysis, relationship analysis, language detection, etc.

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