Python NLTK script to database

Looking for a Python text analysis expert who can work with the NLTK package. See small Python script attached. The following features should be added: - Scrape all the worlds from one website (all the pages so multiple hops) analysed like the script does now for only one sentence. -Delete stopwords (as the script does already for the dutch language) - Words like 'eat' and 'eating' should be counted as one word, because these are conjugated. Start with English but there should be a language parameter because we need in DUTCH. - Write to the database see table format below - A bonus for someone who can add sentiment analysis TABLE FORMAT Worgroup --> NLTK reference Frequentie --> Count of word on the website (based on NLTK so eat and eating should be one word counted two times) Source --> the main URL of the website sentiment --> Bonus (positive, negative or natural)