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Influencer-Generated Reference Groups

Code and data to accompany Influencer-Generated Reference Groups by Junque de Fortuny and Lee 2021, t.b.d.

[TOC]

Tools

Our code relies on the following tools which must be installed prior to running the code.

Natural Language Processing

Name URL
NLTK wordnet lemmatizer https://www.nltk.org/howto/wordnet.html
LIWC http://liwc.wpengine.com/
SentiWordNet https://github.com/aesuli/SentiWordNet
General Inquirer (GI) http://www.wjh.harvard.edu/~inquirer/
ANEW https://csea.phhp.ufl.edu/media/anewmessage.html
Sentic https://sentic.net/
Evaluative Lexicon http://www.evaluativelexicon.com/

Machine Learning

Clustering

Name URL
Weighted Dirichlet Prior GMM https://scikit-learn.org/stable/modules/mixture.html
https://github.com/ktrapeznikov/dpgmm

Embedding

Name URL
Counter-fitting https://github.com/nmrksic/counter-fittingNLTK
Numberbatch Embeddings https://github.com/commonsense/conceptnet-numberbatch
ConceptNet https://conceptnet.io/
UMAP https://umap-learn.readthedocs.io/en/latest/

Image processing

Name URL
DISTS https://github.com/dingkeyan93/DISTS
BRISQUE (alternative image quality analysis) https://github.com/ocampor/notebooks/blob/master/notebooks/image/quality/brisque.ipynb

Code/Set-up

  1. Clone the github repository
  2. Tools need to be installed in the src/lib folder
  3. Data should be placed in the src/data folder
  4. An empty src/output folder should be created.
  5. Run by opening Main.ipynb