Text mining is an analytical method that utilizes Natural Language Processing (NLP) algorithms to convert unstructured and semi-structured textual data into normalized structured data that can be used for further analysis. Many businesses including Apple and Novartis seek data scientists with marketing insights and text mining skills to learn about customer sentiment more effectively. For data scientists to discover valid insights from unstructured text data, classifying positivity and/or negativity of words is crucial.

If you were to create an NLP dictionary, what are the words you find most difficult to classify whether the word is positive or negative? Name one word and discuss why.