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--- |
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widget: |
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- text: >- |
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I can see the intentions behind this app but the execution feels very much |
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lackluster. The quizzes are full of grammar errors and the questions feel |
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very surface level. The quizzes also seem to be aimed at current short |
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term issues versus establishing a baseline and working on keeping track of |
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daily changes. I just see how helpful the app would be to someone to use |
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everyday if there is no baseline established. |
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example_title: Example 1 |
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tags: |
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- sentiemtns |
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- user_reviews |
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- negative |
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- positive |
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- neutral |
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language: |
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- en |
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metrics: |
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- accuracy |
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pipeline_tag: text-classification |
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base_model: cardiffnlp/twitter-roberta-base-sentiment-latest |
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--- |
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From this model you can predict the sentiment of user review text. Example of user reviews (mobile application, Google Maps, or online store). |
