criminal justice question and need guidance to help me learn.
Conduct a hashtag search on Social Searcher.
Scroll through a few pages of results, noticing whether Social Searcher has labeled the post as positive, neutral, or negative.
In your opinion, do the posts actually match the sentiment they’ve been assigned? Why or why not? What limitations do you see with the sentiment algorithm that Social Searcher uses? Applying what you now know about AI and ML fundamentals, what are the challenges of doing sentiment analysis well? How might it be improved?
Using the Detailed Statistics page, did you find any anomalies in the data? What trends did you discover?
Detail your findings in a 1 page paper. Feel free to include screenshots where appropriate.
materials- Doust, W. (2020). Social Searcher Bird’s Eye Overview (01:57).