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@ deltaairlines

@ deltaairlines. Before Human Sorting Positive : 292
Negative: 180
Total: 2,580. After Human Sorting Positive: 872
Negative: 680
Total: 2,560. @ jetblue. Before Human Sorting Positive: 472
Negative: 88
Total: 4,104. After Human Sorting 
Positive: 1,840
Negative: 192
Total: 4,084.

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@ deltaairlines

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  1. @deltaairlines Before Human SortingPositive: 292
Negative: 180
Total: 2,580 After Human SortingPositive: 872
Negative: 680
Total: 2,560

  2. @jetblue Before Human Sorting Positive: 472
Negative: 88
Total: 4,104 After Human Sorting 
Positive: 1,840
Negative: 192
Total: 4,084

  3. @southwestair Before Human Sorting Positive: 700
Negative: 112
Total: 6,456 After Human Sorting 
Positive: 2,976
Negative: 648
Total: 6,428

  4. Sarcasm • One of the most difficult sentiments for automated tracking to interpret properly. • Example:“It was awesome for the week that it worked.”

  5. Navel gazing • When social media tracking turns up items related to your own promotional efforts. • Should be filtered out.

  6. Neutral sentiment • Similar to the concept of swing voters. • Divide into specific themes to uncover more detailed opinions.

  7. Relative sentiment • Not a classic negative, but can be a negative nonetheless. • Example: “I bought an iPhone” is good for Apple, but not for Nokia.

  8. Compound or multidimensional sentiment • Contain positives and negatives in the same phrase. • Example:“I love Mad Men, but hate the misleading episode trailers.”

  9. Conditional sentiment • Includes actions that may happen in the future. • Example: the customer isn’t angry now but says he will be if the company doesn’t call him back.

  10. Positive feelingsunrelated to the core issue • For example, many comments about actors focus on their personal lives, not their acting skills.

  11. Negative sentimentis not necessarily bad • Relates to the classic PR dilemma regarding negative publicity. • Example: Sarah Palin’s appearance on the Today show generated many negative comments but still drove ratings increases.

  12. Ambiguous negative words • Context needs to be thoroughly understood and tagged accordingly. • Example: “That backflip was so sick” is really a positive statement.

  13. Google translate syndrome • Western and Asian sentiment differ greatly, as do the meanings of their emoticons, so they need to be interpreted correctly.

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