Build me a JAVA text analytics app using Watson's API

I will provide you with sample code. I want you to develop a new code that analyzes sample texts and provide the following information: - Sentiment: o Find the percentage of positive vs negative documents in the entire sample texts o Find the average and standard deviation of the positive and negative scores - Emotion: The average and standard deviation of each emotion type (joy, anger, disgust, sadness, and fear) - Categories: Identify how many different categories are there in your entire sample texts and what are their frequencies? - Entities (with sentiment = true, emotion = true): Identify how many different entities are found in entire sample texts and what is the average and standard deviation of their sentiment scores? - Keywords (with sentiment = true, emotion = true): Identify how many different keywords are found in entire sample texts and what is the average and standard deviation of their sentiment scores? Choose any collection of sample texts from blogs, discussions, and any social media status.