In this notebook i will be demonstarting Latent Dirchlet Allocation(LDA) for topic modelling. I will be using the Amazon fine food reviews dataset from Kaggle(https://www.kaggle.com/snap/amazon-fine-food-reviews) for performing LDA based topic modelling I will be using the gensim package for LDA topic modelling and pyLDAvis for visualization of LDA topic model
Pre-requisites
gensim: https://radimrehurek.com/gensim/
pyLDAvis : https://pyldavis.readthedocs.io/en/latest/readme.html#installation
matplotlib: https://matplotlib.org/stable/users/installing.html
spacy 2.0 : https://pypi.org/project/spacy/2.0.0/
LDA paper :
https://ai.stanford.edu/~ang/papers/jair03-lda.pdf
LDA tutorial:
https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation
https://www.machinelearningplus.com/nlp/topic-modeling-gensim-python/