Sentiment Analysis Parser Demo
Training models used
- Binary - Netflix Review Model: a model trained by examining film and TV show reviews on Netflix.
- Binary - HT Provider Review Model: a model trained by examining services reviews.
- Categorical - Stanford Model: a model trained by examining data provided by Stanford University.
- Categorical - HT Provider Review Model: a model trained by examining HT services reviews.
To find out more about the models we trained please visit our Models and Datasets pages.
Datasets evaluated
- Gun Ads: the MEMEX gun ads data. The gun ads/reviews get examined for their sentiment.
- HT Reviews: the MEMEX services reviews examined for their sentiment and therefore possible issues.
Running the parser on 100 gun ads
Binary Sentiment Analysis Parser
- Overall indication of the sentiment
- Positive: 80
- Negative: 20
- Average distribution of sentiment among countries
- Average distribution of sentiment among states
Categorical Sentiment Analysis Parser
- Overall indication of the sentiment
- Angry: 0
- Sad: 1
- Neutral: 95
- Like: 4
- Love: 0
Runnig the parser on ALL gun ads
Total # of ads: 3,929,469
Categorical Sentiment Analysis Parser
- Overall indication of the sentiment
- Angry: 7,898
- Sad: 39,876
- Neutral: 3,733,724
- Like: 143,637
- Love: 4,334
HT ads sentiment distribution
BINARY
- Netflix model results
- Positive: 144,426
- Negative: 58,755
- Binary HT Provider Review model results
- Positive: 107,859
- Negative: 95,322
CATEGORICAL
- Stanford model results
- Angry: 0
- Sad: 1
- Neutral: 202,318
- Like: 861
- Love: 1
- Categorical HT Provider Review model results
- Angry: 24,562
- Sad: 82,115
- Neutral: 31,437
- Like: 62,168
- Love: 2,899
HT ads sentiment distribution - HT Negative Data (new)
BINARY
- Netflix model results
- Positive: 51,898
- Negative: 37,770
- Binary HT Provider Review model results
- Positive: 51,979
- Negative: 37,689
CATEGORICAL
- Stanford model results
- Angry: 0
- Sad: 1
- Neutral: 89,455
- Like: 203
- Love: 9
- Categorical HT Provider Review model results
- Angry: 5,753
- Sad: 34,599
- Neutral: 13,410
- Like: 32,406
- Love: 3,500