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1
Intro
2
Who am I
3
What we will cover
4
What we wont cover
5
Sentiment Analysis Steps
6
Choosing Your Lexicon
7
Tagging Your Lexicon
8
Social Sent
9
Programming
10
Machine Learning
11
Word Embedding Comparison
12
Word Embedding Biases
13
LSTM
14
Dual system
15
Preprocessing
16
Emotions
17
Humor
18
Negation
19
Sentiment Trees
20
Cultural References
21
Speed Memory
22
Questions
Description:
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.

I Hate You, NLP

EuroPython Conference
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