Related skills · check the marketing fit
Preprocess/represent text, train/evaluate sentiment classifiers, apply lexicon and aspect-based methods and deep classifiers, source connects the workflow to customer wants and purchase-influencing online reviews
Taimoor khan · Udemy
Preprocess/represent text, train/evaluate sentiment classifiers, apply lexicon and aspect-based methods and deep classifiers. Source connects the workflow to customer wants and purchase-influencing online reviews
Selected published requirements: “basic programming in python”. See the provider page for the full requirements and current tool terms
Recorded Udemy course advertised with a public course preview. Exact lesson count may be unknown. Purchase or organization-subscription terms and current availability require checking
Related tasks, tools and formats. Check the differences before choosing.
Abhishek Kumar
Learn sentiment workflow and RNN/LSTM concepts, then implement LSTM sentiment modeling in Keras, the source names voice-of-customer reviews/surveys/social material as marketing/service applications
Yaswanth Sai Palaghat
Use TextBlob to classify text sentiment and build a Flask interface, public description explicitly frames customer reviews/social opinions as applications. A technical NLP course transfers to feedback monitoring
Dr. Mohammad Nauman
Implement a concise Keras/Python sentiment engine, develop the case-study model and extend it with CNNs, source targets understanding opinions about company products/services