TRAIN WORD EMBEDDINGS ON OWN DATASET. TENSORFLOW EMBEDDING. W2VEC MODEL FROM SCRATCH. NLP PRACTICE

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#naturallanguageprocessing #datascience #tensorflow

TRAIN WORD EMBEDDINGS ON OWN DATASET. TENSORFLOW EMBEDDING. W2V MODEL FROM SCRATCH. NLP PRACTICE.

Notebook from this video:

This video is about one of the key Natural language processing techniques word embedding.
How to train own word embeddings model and visualize in a very presentable way in a 3D projection.
To train word embedding model I use tensorflow keras Embedding layers and open source dataset. I picked random dataset with texts - some medical data.
Using the same approach you can easily train any word embeddings model for you data science project.

I build word embedding skip-gram model because I wish to predict a context for a target word. The other word2vec model type is CBOW, continuous bag-of-words, it predicts a word given the context. Also with CBOW model type the order of words vanishes because it produces bag-of-words from the context of a target word.

Natural Language processing in practice.
#naturallanguageprocessing #datascience #tensorflow

TRAIN WORD EMBEDDINGS ON OWN DATASET. TENSORFLOW EMBEDDING. W2V MODEL FROM SCRATCH. NLP PRACTICE.

This video is about one of the key Natural language processing techniques word embedding.
How to train own word embeddings model and visualize in a very presentable way in a 3D projection.
To train word embedding model I use tensorflow keras Embedding layers and open source dataset. I picked random dataset with texts - some medical data.
Using the same approach you can easily train any word embeddings model for you data science project.

I build word embedding skip-gram model because I wish to predict a context for a target word. The other word2vec model type is CBOW, continuous bag-of-words, it predicts a word given the context. Also with CBOW model type the order of words vanishes because it produces bag-of-words from the context of a target word.

This video is suitable for NLP learners to see how to do visualization for data science and NLP particularly. Also the code is simple and super handy implemented in tensorflow keras.

Data science for practitioners. Data science for beginners. Data science advanced level. Natural Language processing specialization.
NLP tutorial. NLP lessons free.
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