☛ As a beginner in Natural Language processing, from where should I start?

☛ What is the relation between sentiment analysis, natural language processing and machine learning?

☛ What is the current state of the art in natural language processing?

☛ What is the state of the art in natural language understanding?

☛ Which publications would you recommend reading for someone interested in natural language processing?

☛ What are the basics of natural language processing?

☛ Could you please explain the choice constraints of the pros/cons while choosing Word2Vec, GloVe or any other thought vectors you have used?

☛ How do you explain NLP to a layman?

☛ How do I explain NLP, text mining, and their difference in layman’s terms?

☛ What is the relationship between N-gram and Bag-of-words in natural language processing?

☛ Is deep learning suitable for NLP problems like parsing or machine translation?

☛ What is a simple explanation of a language model?

☛ What is the definition of word embedding (word representation)?

☛ How is Computational Linguistics different from Natural Language Processing?

☛ Natural Language Processing: What is a useful method to generate vocabulary for large corpus of data?

☛ How do I learn Natural Language Processing?

☛ Natural Language Processing: What are good algorithms related to sentiment analysis?

☛ What makes natural language processing difficult?

☛ What are the ten most popular algorithms in natural language processing?

☛ What is the most interesting new work in deep learning for NLP in 2017?

☛ How is word2vec different from the RNN encoder decoder?

☛ How does word2vec work?

☛ What’s the difference between word vectors, word representations and vector embeddings?

☛ What are some interesting Word2Vec results?

☛ How do I measure the semantic similarity between two documents?

☛ What is the state of the art in word sense disambiguation?

☛ What is the main difference between word2vec and fastText?

☛ In layman terms, how would you explain the Skip-Gram word embedding model in natural language processing (NLP)?

☛ In layman’s terms, how would you explain the continuous bag of words (CBOW) word embedding technique in natural language processing (NLP)?

☛ What is natural language processing pipeline?

☛ What are the available APIs for NLP (Natural Language Processing)?

☛ How does perplexity function in natural language processing?

☛ How is deep learning used in sentiment analysis?