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TAPoR Text Analysis Portal for Research

Tools

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Creation

carrd.co

Templates to build single page websites. Ideal for personal websites to show personal work or as a landing page.The websites built can be viewed on any screen size. It is free to use but the many templates require pro membership which has a fee.

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Creation

HTMLUP

It is a website that contains free to use templates built with HTML5 and CSS3. The templates are released under creative commons and can be modified. They are responsive and adapt to mobile and desktop use.

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Analysis

Digital DNA

The Digital DNA (DDNA) Toolbox is a set of methods developed to support scientists in making sense of online data. In particular, it is designed for assessing the reliability of accounts and content (e.g., detecting fake and bot accounts) in online social networks (OSNs). Its main use is to detect fake and bot accounts.

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Natural Language Processing

Quanteda

quanteda is an R package for managing and analyzing textual data. The package is designed for R users needing to apply natural language processing to texts, from documents to final analysis. It is free and open source. Some of its functions are: Tokenizing, corpus building, topic modeling, visualizations, text similarity measures.

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Analysis

Statistical Package for the Social Sciences (SPSS)

SPSS is software for managing data and calculating a wide variety of statistics. It delivers a robust set of features that lets your organization extract actionable insights from its data.

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Search

forTEXT

forTEXT is a free web service, which helps scholars who are interested in the Digital Humanities to choose digital methods and tools according to their research setting. forTEXT is especially designed for scholars with no or little experience in the field of Digital Humanities. The focus currently lies on literature studies and language, but will be broadened in the future. forTEXT provides scientific insights into traditions and techniques of the Digital Humanities and offers video and text tutorials as well as teaching materials. Currently, forTEXT offers content in German, but is going to be translated into English and other languages soon.

Rated 0.0 out of 5.

Analysis

CorpusExplorer

Software for corpus linguists and text/data mining enthusiasts. The CorpusExplorer combines over 50 interactive visualizations under a user-friendly interface. Routine tasks such as text acquisition, cleaning or tagging are completely automated. The simple interface supports the use in university teaching and leads users/students to fast and substantial results. The CorpusExplorer is open for many standards (XML, CSV, JSON, R, etc.) and also offers its own software development kit (SDK)

Rated 0.0 out of 5.

Natural Language Processing

Concraft-pl 2.0

Concraft-pl, a morphosyntactic tagger for the Polish language based on conditional random fields. The tool is coupled with Morfeusz, a morphosyntactic analyzer for Polish, which represents both morphosyntactic and segmentation ambiguities in the form of a directed acyclic graph (DAG). As for now, the tagger doesn't provide any lemmatisation capabilities. As a result, it may output multiple interpretations (all related to the same morphosyntactic tag, but with different lemmas) for some known words, while for the out-of-vocabulary words it just outputs orthographic forms as lemmas.

Rated 0.0 out of 5.

Natural Language Processing

Nerf

Nerf is a statistical named entity recognition (NER) tool based on linear-chain conditional random fields (CRFs). It has been adapted to recognize tree-like structures of NEs (i.e., with recursively embedded NEs) by using the joined label tagging method which -- for a particular sentence -- works as follows: CRF model is used to determine the most probable sequence of labels, Extended IOB method is used to decode the sequence into a forerst of NEs. The extended IOB method also provides the inverse encoding function which is needed during the model training.

Rated 0.0 out of 5.

Natural Language Processing

UDPipe

UDPipe is a trainable pipeline for tokenization, tagging, lemmatization and dependency parsing of CoNLL-U files. UDPipe is language-agnostic and can be trained given annotated data in CoNLL-U format. Trained models are provided for nearly all UD treebanks. UDPipe is available as a binary for Linux/Windows/OS X, as a library for C++, Python, Perl, Java, C#, and as a web service. Third-party R CRAN package also exists.

Rated 0.0 out of 5.