Explore sentiment analysis techniques in Python through this EuroPython conference talk. Delve into the evolving landscape of natural language processing, from simple libraries to complex machine learning systems. Learn about basic semantic mapping, emoticon analysis, and cutting-edge applications of neural networks and deep learning in NLP. Discover various tools and approaches for sentiment analysis, including TextBlob, Bag of Words, Naive Bayes, word2vec preprocessing, and implementations using Metamind, Optimus, TensorFlow, and Watson. Gain insights into the challenges of emotion detection in text and understand the pitfalls of different methodologies. Follow along with hands-on code demonstrations and participate in a Q&A session to deepen your understanding of sentiment analysis in Python.
Overview
Syllabus
Intro
Who am I
What we will cover
What we wont cover
Sentiment Analysis Steps
Choosing Your Lexicon
Tagging Your Lexicon
Social Sent
Programming
Machine Learning
Word Embedding Comparison
Word Embedding Biases
LSTM
Dual system
Preprocessing
Emotions
Humor
Negation
Sentiment Trees
Cultural References
Speed Memory
Questions
Taught by
EuroPython Conference
