Stemming, lemmatization and tokenization:

nlp_basic.ipynb

Word embedding :

word_embedding.ipynb (python keras)

Text spam classification using TFIDF :

spam_classification.ipynb

Text spam classification using word embedding and LSTM :

spam_classification_word_embedding.ipynb

Saving and loading Keras models :

tensorflow doc , spam_classification_word_embedding.ipynb

Transformer sentiment analysis Hugging face :

transformer_classification_hugging_face.ipynb

Attention mechanism :

• what is it ? It allows models to focus on the most relevant parts of an input sequence when making predictions. Important article -> Neural Machine Translation by Jointly Learning to Align and Translate

Transformers :

• what are they ? Transformers are a deep learning architecture in NLP that uses the attention mechanism to analyze relationships between words in a sentence, enabling them to excel at various tasks. Important article -> Attention Is All You Need

Sentiment analysis :

i=Important article about multilingual language model for sentiment analysis