Introduction to Natural Language Processing:
- Challenges of Text Processing: Understanding and dealing with issues like polysemy (multiple meanings of words) and idioms.
- Existing Applications of NLP: Examples include translation tools, trend analysis software, automatic text summarization, and conversational agents like virtual assistants.
- Text Preprocessing:
- Lemmatization vs Stemming: Lemmatization reduces words to their base or dictionary form, while stemming cuts off word suffixes to reach the root form, which may not be a real word.
Resources: