Date: October 2, 2024, @WomenCoding Community
This repository contains a presentation that provides an introduction to Natural Language Processing (NLP), a field within Artificial Intelligence focused on enabling computers to understand, interpret, and generate human language. This presentation covers fundamental concepts, techniques, and real-world applications of NLP, highlighting how it transforms unstructured text data into valuable insights.
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Introduction to NLP
- What is NLP?
- Importance of NLP in various industries
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NLP Pipeline
- Overview of the NLP pipeline stages
- Machine learning vs. deep learning approaches
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Common NLP Techniques
- Tokenization: Breaking text into words or sentences
- Stopword Removal: Filtering out commonly used words (e.g., "the", "is")
- Stemming and Lemmatization: Reducing words to their base form
- Named Entity Recognition (NER): Identifying entities like names, places, dates
- Part-of-Speech (POS) Tagging: Assigning grammatical labels (e.g., noun, verb)
- Text Vectorization (TF-IDF, Bag of Words): Converting text into numerical form
- Sentiment Analysis: Determining positive, negative, or neutral sentiment
- Text Classification: Categorizing text into predefined labels
- Word Embeddings (Word2Vec, GloVe, BERT): Mapping words to dense vectors
- Topic Modeling (LDA): Identifying themes within text data
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Practical Use Cases
- Customer Feedback Analysis: Analyzing product reviews to improve recommendations
- Chatbots & Virtual Assistants: Automating responses in customer service
- Healthcare: Assisting in diagnosis by analyzing patient data
- Finance: Detecting fraud and conducting risk assessments
- Marketing: Personalizing content and recommendations based on user preferences
- Oracle - What is NLP?
- NLPlanet - Practical NLP Course
- Medium - Understanding the NLP Pipeline
- Oracle Documentation - Cosine Similarity
- Hugging Face - NLP Models and Tools
- Gensim - Topic Modeling and NLP Tools
- spaCy - Industrial-Strength NLP in Python
- NLTK - Natural Language Toolkit
Watch the full presentation on YouTube: The Power of NLP: Transforming Text into Actionable Intelligence
- Download or clone this repository.
- Open the presentation file to explore various NLP techniques and use cases.
- Follow along with each section for a detailed understanding of the NLP pipeline and applications.
This project is licensed under the MIT License. See the LICENSE file for more details.
For any questions or additional information, feel free to reach out or submit an issue in this repository!