Name: Amanda J Williamson
Type: User
Company: The University of Waikato
Bio: Hello! Thanks for stopping by! For my machine learning work, I rarely use GitHub. If you would like my code, or help with something, please simply email me. :)
Location: New Zealand
Amanda J Williamson's Projects
Making APA style plots with matplotlib
Bias Statement Detector (BSD) computationally detects and quantifies the degree of bias in sentence-level text of news stories.
conditional variational autoencoder written in Keras [not actively maintained]
Use unsupervised learning and NLP to cluster titles from posts on r/foodporn and classify new titles
Lexicon-based method to detect depressive language
Repository for JAIR 2018 paper on confounding shift
Extract metadata from Lexis Nexis Output
Convenience wrappers for the Lexis Nexis WSK API
:newspaper: Working with newspaper data from 'LexisNexis'
Natural Language Processing and Computational Linguistics, published by Packt
NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Topic Modeling on Historical Newspapers of New Zealand
Partial Least Squares Path Modeling, Structural Equation Modeling
Opinion Mining of Political Campaigns
Program that gather and analyses political opinions from twitter. Then uses natural language analyses to calculate their opinion to compares them to pollster data to calculate difference in opinions between social media opinions and general populace opinions. This is for my 3rd year dissertation project.
A Python library for moderation, mediation and conditional process analysis.
psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .
🐍 Python samples for Google Workspace APIs
Lightweight Stable Diffusion v 2.1 web UI: txt2img, img2img, depth2img, inpaint and upscale4x.
Suicidal Ideation Detection in Online User Content
Resources for learning about Text Mining and Natural Language Processing
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.