Creation
Bonsai
Bonsai is a JavaScript graphics library. It also has an online SVG renderer and JavaScript editor called orbit. Currently maintenance of the library seems to have stopped. Demos no longer work
Search
Recoll
Recoll is used to search for documents based on their content as well as thier filenames. Recoll can search documents on many different formats and from a variety of storages (files, archive members, email attachments, etc while transparently handling decompression. It is free on Linux, open source, and licensed under the GPL. It is based on the very capable Xapian search engine library, for which it provides a powerful text extraction layer and a complete, yet easy to use, Qt graphical interface.
Visualization
Communalytic
Communalytic is a research tool for studying online communities and online discourse. Communalytic can collect and analyze public data from social media platforms. It uses advanced text and social network analysis techniques to automatically pinpoint toxic and anti-social interactions, identify influencers, map shared interests and the spread of misinformation, and detect signs of possible coordination among seemingly disparate actors.
Visualization
Netlytic
Netlytic is a community-supported text and social networks analyzer that can automatically summarize and visualize public online conversations on social media sites. It is made for researchers by researchers, no programming/API skills required. With Netlytic you can: capture publicly available posts from social media sites or other sources (Twitter, YouTube, RSS Feed, or text/csv file) Discover popular topics Find and explore emerging themes of discussions Build, visualize and analyze online communication networks using social network analysis Map geo-coded social media data
Visualization
The Literary Field Guide
The Literary Field Guide provides an overview of the textual ecology of the text that you are about to read. It identifies mentions of ecological terms in the text and outputs an image that represents the environment the ecological terms of the text suggest. It also outputs the mentions and their frequencies under specific headings (for example: fauna, flora, amphibians, trees, landscapes, etc )
Visualization
Jupyter notebook: Document similarity
A Jupyter notebook that show some methods of comparing documents. The methods included are: -Document term matrix -TF-IDF -Cosine similarity -Visualizing document similarity with scatterplots -Visualizing document similarity with dendrograms
Natural Language Processing
Nocode app
The Nocode app is a suite of data exploration tools (or functions) that can be used by analysts, students, researchers and journalist to analyse text. It currently has 5 functions: Umigon: sentiment analysis for social media, in English and French. Cowo: transform your texts into networks. Topics: identify the key topics in texts of any language. Gaze: find the network structure in your list of items. Organic: distinguish natural from corporate tweets. It is free to use. It can be used on a browser and the app can be downloaded and installed on a local computer.
Natural Language Processing
TreeTagger
The TreeTagger is a program developed by Helmut Schmid at the University of Stuttgart (now at the University of München), for part-of-speech tagging and lemmatization. Language models (known as “parameters”, file extension .par) are supplied on the TreeTagger webpage for using the program with texts in English, French, German, Italian, Spanish, Russian, Bulgarian, Dutch, Estonian, Finnish, Galician, Latin, Mongolian, Polish, Slovak and Swahili, and models for some other languages are available from sites linked to the TreeTagger webpage. For a language for which no model exists, it is necessary to hand-tag some text, and then run a training program (provided with the TreeTagger) to create the model.
Visualization
VAnnotatoR
VAnnotatoR is a system that massively supports the annotation of multimedia, multimodal networks of linguistic and object-related data in virtual 3D environments. VAnnotatoR allows for segmenting and linking texts and images with other multimedia, multimodal data to ultimately create spatial hypertexts. It can be used to support concrete technical applications, e.g. the reconstruction of 3D scenes from texts as a preparatory step for the training of Text2Scene systems, or for applications in the digital humanities, such as the spatial reconstruction and linking of historical scenes or biographies with corresponding media content, such as images or 3D reconstructions of historical buildings. The entire system is interactively accessible with VR glasses in Virtual Reality (VR) and can be controlled and experienced accordingly. VAnnotatoR uses TextAnnotator as technological backbone and thus all its functions for annotation, task management, annotation evaluation as well as for collaborative and simultaneous processing of resources. Furthermore, VAnnotatoR uses TextImager to benefit from its NLP routines for automatic text analysis. VAnnotatoR is implemented on the basis of Unity3D and OpenVR and therefore runs with both systems and several VR glasses – it was tested on Oculus Rift, Oculus Rift S, Oculus Quest, HTC Vive and HTC Vive Cosmos under Windows 10. A demonstration of its usage can be found here https://www.youtube.com/watch?v=BBUg8mHT0iI
Visualization
TextAnnotator
TextAnnotator is a web based annotation tool implemented with the JavaScript framework ExtJS and the visualization library d3.js that can process and annotate NLP documents in UIMA (Unstructured Information Management applications) format. TextAnnotator is a framework that offers several annotation tools for generating IMA-compliant training data that can be used to train classifiers in support of the needs of humanities scholars. Note: The tool is currently not working.