{"id":13426444,"url":"https://github.com/senthilchandrasegaran/textplorer","last_synced_at":"2025-03-15T21:31:14.588Z","repository":{"id":49013045,"uuid":"63309157","full_name":"senthilchandrasegaran/textplorer","owner":"senthilchandrasegaran","description":"Visual analytics application for qualitative text analysis","archived":false,"fork":false,"pushed_at":"2023-01-09T16:12:20.000Z","size":2012,"stargazers_count":24,"open_issues_count":9,"forks_count":1,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-10-28T05:12:29.810Z","etag":null,"topics":["nlp","text-visualization","visual-analytics"],"latest_commit_sha":null,"homepage":"","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/senthilchandrasegaran.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2016-07-14T06:36:38.000Z","updated_at":"2024-09-15T16:20:43.000Z","dependencies_parsed_at":"2023-02-08T12:46:02.531Z","dependency_job_id":null,"html_url":"https://github.com/senthilchandrasegaran/textplorer","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/senthilchandrasegaran%2Ftextplorer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/senthilchandrasegaran%2Ftextplorer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/senthilchandrasegaran%2Ftextplorer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/senthilchandrasegaran%2Ftextplorer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/senthilchandrasegaran","download_url":"https://codeload.github.com/senthilchandrasegaran/textplorer/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243792361,"owners_count":20348629,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["nlp","text-visualization","visual-analytics"],"created_at":"2024-07-31T00:01:34.669Z","updated_at":"2025-03-15T21:31:14.126Z","avatar_url":"https://github.com/senthilchandrasegaran.png","language":"JavaScript","funding_links":[],"categories":["JavaScript","nlp"],"sub_categories":[],"readme":"# Textplorer\n\nTextplorer is a web-based visual analytics tool to help the qualitative analyst in the Grounded Theory Method.\nGrounded Theory is a general method of developing theoretical constructs\ninductively from data sources gathered as a part of a qualitative\nresearch study.\nIt uses a \"construct-oriented approach\" where the analyst creates\ncategories based on patterns in the data.\nThese categories are further grouped into higher-level categories, and\nrelationships (especially causal) between categories are identified.\nFinally a \"core concept\" is chosen among these categories, and based on\nthe relationships identified, a theory is formed.\n\nTextplorer uses natural language processing (NLP) techniques along with\ninteractive text visualizations to help the user explore the text data,\nidentify concepts of interest, and establish relationships between these\nconcepts.\n\n## Publication\nTextplorer was developed as part of a paper presented at EuroVis 2017.\nThe full citation, link to the pdf, and a video demo are shown below.\n\nChandrasegaran, S., Badam, S.K., Kisselburgh, L., Elmqvist, N., and\nRamani, K. _Integrating Visual Analytics Support for Grounded Theory\nPractice in Qualitative Text Analysis_. Computer Graphics Forum (Proc.\nEuroVis), 36 (3), pp. 201–212, 2017.\n\n[(**Download Paper**)](https://senthilchandrasegaran.github.io/pages/pubs/pdfs/gthelper.pdf)\n\n[![Click to play video](./textplorer_video.png)](https://vimeo.com/194922904 \"Click to play video\")\n\n\n\n\n## Installation Instructions\nWe use the Stanford Parts-of-Speech (POS) Tagger and the Stanford Named\nEntity Recognition (NER) Tagger, which require a little setup in Java.\nSo before installing Textplorer, perform the following steps first.\n\n### Install Dependences\n\n1. Install JDK (v \u003e 1.8), and add the path to the bin file (e.g.\n  `C:/Program Files/Java/jdk1.8.0_101/bin` or `/usr/bin/java` to the environment variable `JAVAHOME` (for Windows), or to your `$PATH` variable (for Linux/OSX).\n2. Download the [Stanford Named Entity Recognizer](http://nlp.stanford.edu/software/CRF-NER.html#Download)\n  and extract its contents to a folder, say `$HOME/StanfordNER/`\n3. Add `$HOME/StanfordNER` to the `CLASSPATH` environment variable (for\n   windows) or to your `$PATH` variable if linux/OSX.\n4. Download the [Stanford CoreNLP models](http://nlp.stanford.edu/software/stanford-english-corenlp-2018-10-05-models.jar)\n  and extract the files. Copy the folder `nlp` from\n  `stanford-english-corenlp-20YY-MM-DD/edu/stanford/` and place it in\n  `$HOME/StanfordNER`.\n5. Download the [Stanford POS Tagger](https://nlp.stanford.edu/software/stanford-postagger-2018-10-16.zip), extract the contents into a folder, say `$HOME/StanfordPOS`. Add this folder to your `$PATH` variable.\n6. Make sure Node.js and Python are installed on your system\n7. Install the [NLTK package](http://www.nltk.org/install.html) for\n  Python.\n8. Run python and the command line and type ``import nltk``, followed by\n   ``nltk.download()``. This opens a download window titled \"nltk\n   downloader\". Select the \"Corpora\" tab, and download the \"wordnet_ic\",\n   and \"stopwords\" corpora.\n\n### Install Textplorer\nTextplrorer's server uses the [Node.js](https://nodejs.org/) runtime, so\nit needs to be installed first, in order to install all related\nlibraries.\n\n1. Download the source code\n  [as a zip file](https://github.com/senthilchandrasegaran/textplorer/archive/master.zip)\n  or clone the repository by typing the following command on the terminal:\n\n   ```shell\n   $ git clone https://github.com/senthilchandrasegaran/textplorer.git\n   ```\n\n2. On the Node.js Command Prompt (for Windows) or Terminal (for OS X), navigate to the main folder (the one that contains the file `textplorer.js`) and type in:\n\n   ```shell\n   $ npm install\n   ```\n\nThis installs all required modules.\n\n**NOTE:**\nIt is wise to update the path variables in the file\n`public/pythonscripts/infoContent.py` to reflect the paths of the\nStanford NER and POS Taggers, instead of relying on the `$PATH` variable setting. Make sure you have the absolute path (paths starting with `~/` or `$HOME` will not work.)\n\n## License\nReleased under [BSD license](https://opensource.org/licenses/BSD-3-Clause).\nCopyright 2017 [Senthil Chandrasegaran](https://github.com/senthilchandrasegaran).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsenthilchandrasegaran%2Ftextplorer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsenthilchandrasegaran%2Ftextplorer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsenthilchandrasegaran%2Ftextplorer/lists"}