Label and Analise few of the NLP features like POS, NER, lenght of the query for classifying good and bad query.

Label and Analise few of the NLP features like POS, NER, length of the query for classifying good and bad query. Create a dataset using [login to view URL] Examples of good product queries - "nail polish to go with navy dress" - "computer science book" - "dog seat cover" - "dog seat cover for ford f150" - "iphone 7 yellow case" - "multi purpose hammer" - "hammer with rubber head" - "Samsung phone's best cover" - "General purpose hammer" - "non toxic baby soap" 3) Examples of bad product queries: - "battery life of iphone 7" - "nail polish may kill you" - "social work" - "table dimension" - "rock music" - "computer science" - "hammer broke iphone 7" - "nokia phone stronger than hammer" - "iphone 7 damaged by new case" - "Samsung phone looks ugly with cover"