trendsMetaData
Latto-Wed-Jul-12-2023-17:19:02-UTC

Instructions

  • Press the red Mood Correction button for the intended sentiment.
  • Loading... While the contribution is calculated.
  • One Mood Correction contribution per reference data.
  • One correction does not necessarily change the sentiment.
  • Tweet updated chart with Twitter Web Intent.

Latto

Sentiment Analysis using text classification. A Naive Bayes Algorithm uses dictionaries of words to classify tweets as negatvie, neutral, or positive. Mood Correction submission are instantly applied. Retweets are black and white. Retweets appear in the Firehose for each instance of amplification. When captured like this, frozen in a snaphot, they look like duplicates. Each Retweet is considered a Tweet because of the Perspectival Agreement Intent of the Retweeter.

1/25 negative tweets

22/25 neutral tweets

2/25 positive tweets

Probably pos

Neg 0.250 Neu 0.250 Pos 0.500

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neg

Neg 0.500 Neu 0.250 Pos 0.250

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably pos

Neg 0.400 Neu 0.200 Pos 0.400

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.200 Neu 0.400 Pos 0.400

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction

Probably neu

Neg 0.333 Neu 0.333 Pos 0.333

Mood Correction