Pinned Repositories
037-Cookies-Uygulama
autolayout-course
BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
blog-test-app
dicee-website-project
dogukanyildirim.github.io
expanding-cards
feather-news-app
posts-fake-api
select-lucky-person
dogukanyildirim's Repositories
dogukanyildirim/blog-test-app
dogukanyildirim/dicee-website-project
dogukanyildirim/dogukanyildirim.github.io
dogukanyildirim/expanding-cards
dogukanyildirim/feather-news-app
dogukanyildirim/posts-fake-api
dogukanyildirim/select-lucky-person
dogukanyildirim/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
dogukanyildirim/blog-app
dogukanyildirim/blurry-loading
dogukanyildirim/comments-api
dogukanyildirim/datas
dogukanyildirim/Destini-iOS13-Completed
Learn to Code While Building Apps - The Complete iOS Development Bootcamp
dogukanyildirim/digesting-the-digest
Using the Gmail API to topic model my recommended Medium reads
dogukanyildirim/doguApi
dogukanyildirim/dogukanyildirim
Config files for my GitHub profile.
dogukanyildirim/food-app
dogukanyildirim/FrontEndWebProjects
dogukanyildirim/gensim
Topic Modelling for Humans
dogukanyildirim/hidden-search
dogukanyildirim/image-slider-draggable
dogukanyildirim/LDATopicModelling
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
dogukanyildirim/mobile-tab-navigation
dogukanyildirim/my-app
dogukanyildirim/progress-step
dogukanyildirim/random-image-generator
dogukanyildirim/rick-and-morty-api
dogukanyildirim/rick-and-morty-app
dogukanyildirim/rotating-nav-animation
dogukanyildirim/sound-board