NLP Tutorial: Sentiment in text and Word Embeddings скачать в хорошем качестве

NLP Tutorial: Sentiment in text and Word Embeddings

Deep Learning Adventures - TensorFlow In Practice - Session 6 Join us for our 6th adventure in Deep Learning! Just bring your curiosity and be ready to meet our growing community 😀We are taking Course 3 of TensorFlow in Practice Specialization available at: https://www.coursera.org/specializati... Agenda: Introductions / Social conversations Course 3 Week 1 - Sentiment in text The first step in understanding sentiment in text, and in particular when training a neural network to do so is the tokenization of that text. This is the process of converting the text into numeric values, with a number representing a word or a character. Join us as we learn about the Tokenizer and pad_sequences APIs in TensorFlow and how they can be used to prepare and encode text and sentences to get them ready for training neural networks! Course Week 2 - Word Embeddings Join us on this session to learn about Embeddings, where tokens (converted words) are mapped as vectors in a high dimension space. With Embeddings and labelled examples, these vectors can then be tuned so that words with similar meaning will have a similar direction in the vector space. This is needed in training a neural network to understand sentiment in text -- and we will begin by looking at movie reviews, training a neural network on texts that are labelled 'positive' or 'negative' and determining which words in a sentence drive those meanings. Deep Learning YouTube recordings, please subscribe 😀 https://bit.ly/deep-learning-tf Deep Learning Adventures - Presentation 4: https://docs.google.com/presentation/... Deep Learning Trivia Game #4, feel free to practice, our live Trivia night is scheduled for Friday 6/5: https://quizizz.com/join/quiz/5eb71e0... Spread the word about our meetup 🎉 #deeplearning #naturallanguageprocessing #nlp #sentiment #text #wordembeddings #tensorflow #coursera #fun #deeplearningtrivia @lmoroney @AndrewYNg