Walked paths
Let’s see what previous work is available on this idea, the purpose of this project is mainly to learn about NLP through a hands-on approach and gain insight on the theoretical foundations; engineering and scientific curiosity will be pursued alternatively.
Wikipedia seems to be a nice starting point:
https://en.wikipedia.org/wiki/Topic_model
- AI to classify AI: The AI Tree.
From there, here’s a first list of documents that should provide a general idea about NLP Topic Modeling and what can be accomplished:
- Applied Text Analysis with Python - Enabling Language-Aware Data Products with Machine Learning - Benjamin Bengfort, Rebecca Bilbro, and Tony Ojeda
- Text Analytics with Python A Practical Real-World Approach to Gaining Actionable Insights from Your Data - Dipanjan Sarkar
- NATURAL LANGUAGE SUMMARIZATION OF TEXT AND VIDEOS USING TOPIC MODELS - Pradipto Das
- Generalized Probabilistic Topic and Syntax Models for Natural Language Processing - William Michael Darling
- Interactive topic modeling - Yuening Hu · Jordan Boyd-Graber · Brianna Satinoff · Alison Smith
- Text Mining For Information Systems Researchers: An Annotated Topic Modeling Tutorial Stefan Debortoli University of Liechtenstein, stefan.debortoli@uni.li Oliver Müller IT University of Copenhagen Iris Junglas Florida State University Jan vom Brocke University of Liechtenstein
| Previous | Home | Next |
|---|---|---|
| θεόφιλος Journey | θεόφιλος Journey | Work Environment |