Lecture on Natural Language Processing (NLP)

Introduction to NLP

• C-3PO: Golden, life-sized hospitality robot from Star Wars
• Current State: Machines can talk and respond in a human-like manner
  • Website queries, smart assistants, internet calls
  • These responses are generated by machines, not humans

What is NLP?

• Definition: Branch of AI that enables machines to understand and derive meaning from human language
• Disciplines Involved: Linguistics and computer science
• Purpose: To make models that comprehend, analyze, and extract significant details from text and speech

Importance of NLP

• Human Interaction: Daily interaction involves sharing large amounts of data
• Data Usage: Analyzing data to understand human behavior and customer habits
• Advantages: Saves manpower and time by automating responses

Everyday Applications of NLP

• Autocorrect: Helps with spelling
• Plagiarism Checkers: Compare text against web content

Basic Techniques in NLP

1. Segmentation: Breaking down a document into sentences

• Segmentation based on punctuation (e.g., full stops, commas)

2. Tokenization: Breaking down sentences into words (tokens)
3. Stop Words: Removing non-essential words (e.g., are, and, the)
4. Stemming: Reducing words to their base form (e.g., skipping -> skip)
5. Lemmatization: Identifying base words considering tense, mood, gender
6. Part of Speech Tagging: Labeling words as nouns, verbs, etc.
7. Named Entity Tagging: Flagging names of people, places, movies, etc.

Machine Learning in NLP

• Example Algorithm: Naive Bayes
• Goal: Teach models human sentiment and speech
• Underlying Techniques: Based on simple grammar rules

Question for Audience

• Question: Which NLP technique is used to obtain words from sentences?
  • Options: A. Stemming B. Tokenization C. Lemmatization D. Segmentation
• Call to Action: Leave answers in the comment section
  • Prizes: Amazon gift vouchers for three lucky winners

Career Opportunities and Further Learning

• Demand: High demand for NLP experts
• Salaries: Companies offer lucrative salaries
• Further Learning: Simply Learn's postgraduate program in AI and ML with IBM
  • Frameworks: Keras and TensorFlow
  • Practical Experience: Hands-on deep learning projects

Conclusion

• Video Wrap-up: Ends the video on NLP
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• Channel: Simply Learn

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