Early applications of NLP in the insurance industry has been primarily in the underwriting area. But some companies are getting high returns on the use of NLP and sentiment analysis in the investment departments. What other areas can you think of to utilize and capitalize upon this machine learning technique

Double corporation acquired all of the common stock of simple company for

Paddock pools constructed a swimming pool and deck for the jensens' home. paddock installed the wrong trim on the pool. it would cost $2800 to change the trim-one-fifth of the total cost of the pool. the jensens refuse to pay anything for the pool. the paddock's best defense is: (a) duress (b) substanial performance (c)mistake (d) failure of conditions

What do you think: would it be more profitable to own 200 shares of penny’s pickles or 1 share of exxon? why do you think that?