Topic Modeling Workshop for the Beginners in Python

[Beginners Workshop in Python] This workshop is all you need to learn topic modeling in python combining Gensim, spacy, NLTK and few other python libraries. This workshop has the following 6 steps:

1. Reading and Loading Data
   • NIPS Papers as our source dataset
2. Data Preparation
   • Select required columns
   • Remove Punctuations marks
3. Exploratory Data Analysis
   • Word Cloud
   • Document Term Matrix
4. Data Modeling and tokenization
   • Stop words removal
   • bigram and trigram
   • Vectorization and Tokenization
5. Model Building
   • LDA Modelling
6. Model Evaluations
   • LDA Model Visualization
   • Coherence Score

GitHub notebook for this workshop: https://github.com/prodramp/DeepWorks/tree/main/TopicModelling/BaseWorkshop

▬▬▬▬▬▬ ⏰ TUTORIAL TIME STAMPS ⏰ ▬▬▬▬▬▬

• (00:00) Tutorial Starts
• (00:12) Topic Modeling Intro
• (03:10) Workshop Environment
• (03:26) Content location at GitHub
• (03:50) Dataset used in this workshop
• (04:40) LDA Intro
• (05:35) Topic Modeling Use Cases
• (05:55) 6 Steps in this Workshop
• (06:06) Step 1: Loading Data
• (09:20) Step 2: Data Preparation
• (09:41) Step 2.1: Removing Punctuation
• (10:22) Step 2.2: Removing digits and word with digits
• (10:43) Step 2.3: Lowercase all context
• (11:08) Step 3: EDA
• (11:27) Step 3.1: Word Cloud
• (12:28) Step 3.2: Document Term Matrix
• (14:50) Step 4: Data Modeling
• (15:21) Step 4.1: Stop words removal
• (21:09) Step 4.2: Creating Bigram and Trigram
• (23:26) Step 4.3: Lemmatization
• (26:03) Step 4.4: Tokenization
• (28:14) Step 5: LDA Topic Modeling
• (32:53) Step 6: Topic Modeling Performance and analysis
• (34:29) Step 6.1: Topic visualization
• (37:32) Step 6.2: Coherence Score
• (39:30) Saving notebook to GitHub
• (39:55) Recap

Please visit:

• Prodramp LLC | https://prodramp.com | @prodramp
• https://www.linkedin.com/company/prodramp

Content Creator: Avkash Chauhan (@avkashchauhan)

• https://www.linkedin.com/in/avkashchauhan

Tags: #python #lda #nlp #spacy #gensim #nlp #ml #ai #aicloud #h2oai #driverlessai #machinelearning #cloud #mlops #model #collaboration #deeplearning #modelserving #modeldeployment #keras #tensorflow #pytorch #datarobot #datahub #aiplatform #aicloud #modelperformance #modelfit #modeleffect #modelimpact #modelbias #modeldeployment #modelregistery #modelpipeline #neptuneai #streamlit #pythonapps #deepchecks #modeltesting #codeartifact #dataartifact #modelartifact #onnx #aws #supervisor #supervisord #kaggle #keplergl #mapbox #lightgbm #xgboost #classification #regression #dataengineering #pandas #keras #tensorflow #tensorboard #mnist #cnn #convnet #alexnet #prodramp #avkashchauhan #cnnexplainer #gnn #graph #graphneuralnetwork #pyg #networkx ... https://www.youtube.com/watch?v=EZiPAXez4KE