[Essay Help]: What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why

What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why. Part 1
What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why?
Your response should be 250-300 words.
There must be at least one APA formatted reference (and APA in-text citation) to support the thoughts in the post.

Part 2
Respond to 2 replies 100 words each

Part 3
Atleast 300 words and be sure to include an APA cover page and include at least two APA formatted references

1. Explain the relationship among data mining, text mining,

and sentiment analysis.

2. In your own words, define text mining, and discuss its

most popular applications.

3. What does it mean to induce structure into text-based

data? Discuss the alternative ways of inducing structure

into them.

4. What is the role of NLP in text mining? Discuss the capabilities

and limitations of NLP in the context of text mining.

Go to kdnuggets.com. Explore the sections on applications

as well as software. Find names of at least three

additional packages for data mining and text mining.

What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why