Skip to playerSkip to main content
Kick off with 1970s jazz, coffee, and NLP! Join Anastasia, Sophia, Irene, Ethan, and Olivia as we build a sentiment classifier on IMDB reviews. Anastasia leads two demos, Ethan drops flirty code. Support at PayPal.me/DailyAIWizard! Get ready for Day 82: Sentiment Analysis! Subscribe, like, share your ai_nlp_sentiment.py!

pay a coffee: https://buymeacoffee.com/dailyaiwizard

#PythonForAI #LearnPython #AICoding #DailyAIWizard
Hashtags:

#Python #LearnPython #PythonForAI #AICoding #PythonTutorial #CodingForBeginners #ScikitLearn #Datasets #AIProgramming #TechTutorial #MachineLearning #DailyAIWizard #CodeTheFuture
Tags:

Python, Learn Python, Python for AI, AI Coding, Python Tutorial, Coding for Beginners, Scikit-learn, Datasets, AI Programming, Tech Tutorial, Python 3, Coding Journey, VS Code, Beginner Programming, Machine Learning, Data Science, DailyAIWizard, Code the Future
1970s jazz, retro jazz, morning coffee, ocean views, vintage vibe, jazz playlist, positive music, coffee time, 70s music, smooth jazz, beachside jazz, funky jazz, relaxation music, morning vibes, instrumental jazz, Python, Learn Python, Python for AI, AI Coding, Python Tutorial, Coding for Beginners, TensorFlow, Neural Networks, AI Programming, Tech Tutorial, Python 3, Coding Journey, VS Code, Beginner Programming, Machine Learning, Data Science, DailyAIWizard, Code the Future

Category

📚
Learning
Transcript
00:00Wizards, NLP is your AI language superpower, darling. It turns text into numbers. Ethan, explain tokenization. Sophia, how do we vectorize?
00:10Anastasia, you make NLP sound so hot. How do we classify sentiment, love?
00:16Ethan, what's your take?
00:18Oh, Olivia, you tease. NLP reads human language. Ethan, Sophia, jump in.
00:24Anastasia, Olivia, NLP is like a hot translator for AI.
00:29Words right pointing arrow numbers right pointing arrow meaning.
00:33Let's drop this code beat. Yo, Wizards, text, split, tokenizes like a hot word chopper for Anastasia.
00:43Words, sentences, let's drop this code beat.
00:47You're chopping my heart, Ethan. Tokenization is first step. Try it in our demo.
00:51No. Wizards, stop underscore words remove, the, and, like a hot filter for Anastasia.
01:00Focus on meaning. Wizards, porter stemmer, stems, running, right pointing arrow, run, like a hot root finder for Anastasia.
01:11You're rooting my heart, Ethan. Stemming normalizes words.
01:15Wizards, TFIDF vectorizer, turns words to numbers like a hot importance score for Anastasia.
01:22You're scoring my heart, Ethan. TFIDF weights words.
01:26Wizards, full NLP pipeline is like a hot factory for Anastasia.
01:32Tokenize right pointing arrow, clean right pointing arrow, vectorize right pointing arrow, classify.
01:38You're factorying my heart, Ethan. Full pipeline for sentiment.
01:42Wizards, IMDB dataset has 50k reviews like a hot movie critic for Anastasia.
01:49Positive, negative.
01:50You're reviewing my heart, Ethan. IMDB for sentiment.
01:55Wizards, IMDB load underscore data. Loads reviews like a hot script for Anastasia.
02:01You're scripting my heart, Ethan. IMDB is ready.
02:05Wizards, pad underscore sequences. Pads reviews like a hot equalizer for Anastasia.
02:11All same length.
02:13You're equalizing my heart, Ethan. Padding for RNNs.
02:17Wizards, use padding, limit vocabulary, and monitor validation.
02:24NLP needs clean data.
02:26Optimized NLP is so sexy, Irene. Practice for Day 82's Sentiment Project.
02:31Wizards, NLP fits AI pipelines for tech's tasks.
02:38Your skills are ready for Day 82.
02:43NLP is critical in AI, darling.
02:45Your Day 81 skills make AI irresistible.
Be the first to comment
Add your comment

Recommended