Natural language processing enables computers to read on your behalf, and it's easy
First, identify the set of tweets you wish to analyze. Collect on an organization like
the @New Orleans Saints, a person like @Michael Jordan, or a topic #analytics
Second, encode human judgement of tweet sentiment on a small subset. A human simply identifies if
the tweet is positive, neutral, or negative. Third, pre-process the tweets. This step
leverages human judgment to encode the nuances of the language onto the dataset.
Finally, run the model, and review a synthesized view of millions of opinions
Let your computer deal with the emotions of the twitter verse so
you can focus on your passion for your business.