Tools
[Tools] a work in progress…
January 6, 2021
0

https://leafletjs.com/

LODEX

ourresearch

openknowledgemaps.org

dimensions.ai

https://tos.coreofscience.com/

https://infranodus.com/

http://www.squash.ulg.ac.be/logiciels/

https://hypertopic.org/cassandre

https://en.arguman.org/

https://graphcommons.com/

https://www.quadrigram.com/

https://medialab.sciencespo.fr/outils/

https://www.datawrapper.de/

https://metaindex.fr/webapp/welcome

https://wiki.digitalmethods.net/Dmi/ToolDatabase

https://www.laurenceanthony.net/software/antconc/

https://github.com/pournaki/twitter-explorer

www.rekall.fr/en/

http://www.metopes.fr/metopes-outils.html

https://excalidraw.com/

workbenchdata.com

Visualisation

tutoriels pour visualiser un réseau Twitter sur Gephi:

tuto labels

tuto communautés

tuto avec indications pour export vers Sigmajs

autre tuto avec indications pour export vers Sigmajs


Reproductibilité

https://hpc.guix.info/blog/2019/10/towards-reproducible-jupyter-notebooks/

RISE, a Jupyter notebook extension, you can instantly turn your jupyter notebook into a live reveal.js-based presentation.


Scrapers:

Twitter libraries list

Gazouilloire

Twarc

R package ‘twitteR’

TCAT

Tweepy

Talend

Twitter explorer

extractify is a free extension for Chrome, developed in JavaScript under Bracket, whose purpose is to scrap structured data on the web. It is particularly designed for collecting online comments or online conversations such as forums.


Scripts:

How to get follower count using tweepy

https://github.com/aspiringguru/twitterDataAnalyse

https://github.com/c24b/openscience4S/blob/master/Cartographie%20des%20comportements%20des%20electeurs.ipynb

https://github.com/briatte/awesome-network-analysis

https://wesslen.github.io/twitter/twitter-get-followers/

Pandas Profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is great but a little basic for serious exploratory data analysis. pandas_profiling extends the pandas DataFrame with df.profile_report() for quick data analysis.

Objected Oriented Programming¶ — A Python Course for the Humanities by Folgert Karsdorp and Maarten van Gompel


Tutoriel pour scraper le Web (Wakelet?):

https://medium.com/@bertacaro1996/web-scrapping-tutorial-b7f7bd509348

ExplodingAColumnIntoMultipleCells.ipynb
https://gist.github.com/sureshsarda/00c3b7423ea7b6cba4250a719d6b7424


Idée ressources:

The DH Literacy Guidebook

MIT’s Digital Humanities : Tools and Resource Recommendations

Using Twitter as a data source: an overview of social media research tools (2019)

Wakelet


Text Analysis:

TAPOR: the Text Analysis Portal for Research.

  • onglet Natural Language Processing à explorer

AntConc : A freeware corpus analysis toolkit for concordance and text analysis.

Tutos Youtube : https://www.youtube.com/channel/UC5bgZtdgKyj5un66ZOGGN2A

Rtemis est un environnement graphique de travail sous R permettant de créer, manipuler et analyser des corpus de textes. Le projet R.TeMiS se décline en une série de paquets R, dont deux s’adressent directement aux chercheurs en sciences sociales

Paper Machines is a plugin for the Zotero bibliographic management software that makes cutting-edge topic-modeling analysis in Computer Science accessible to humanities researchers without requiring extensive computational resources or technical knowledge. It synthesizes several approaches to visualization within a highly accessible user interface.

Linkage Linkage allows you to cluster the nodes of networks with textual edges while identifying topics which are used in communications. You can analyze with Linkage networks such as email networks or co-authorship networks. Linkage allows you to upload your own network data or to make requests on scientific databases (Arxiv, Pubmed, HAL).

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