Row 8282
Content Data
This page contains data entry 8282 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I wish you luck on this project, but my thought is that it will have a high failure rate. First, humans cannot make this determination accurately: [https://journals.sagepub.com/eprint/SAUES8UM69EN8TSMUGF9/full](https://journals.sagepub.com/eprint/SAUES8UM69EN8TSMUGF9/full) Humans from different cultural, economic and other backgrounds may use the same expressions to mean very different things.
Autism can get thrown in there and really mess up a reading. Actors can also give off fake facial clues.
If your work can help further the research like this: [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640856/](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640856/) then it will be better received. Note that there are already a number of AI models that are used to try to predict emotions and all of them have at this point proven the above points.
| Field | Value |
|---|---|
| text | I wish you luck on this project, but my thought is that it will have a high failure rate. First, humans cannot make this determination accurately: [https://journals.sagepub.com/eprint/SAUES8UM69EN8TSMUGF9/full](https://journals.sagepub.com/eprint/SAUES8UM69EN8TSMUGF9/full) Humans from different cultural, economic and other backgrounds may use the same expressions to mean very different things. Autism can get thrown in there and really mess up a reading. Actors can also give off fake facial c… |
| label | r/deeplearning |
| dataType | comment |
| communityName | r/deeplearning |
| datetime | 2024-05-19 |
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Raw Record
{
"text": "I wish you luck on this project, but my thought is that it will have a high failure rate. First, humans cannot make this determination accurately: [https://journals.sagepub.com/eprint/SAUES8UM69EN8TSMUGF9/full](https://journals.sagepub.com/eprint/SAUES8UM69EN8TSMUGF9/full) \nHumans from different cultural, economic and other backgrounds may use the same expressions to mean very different things.\n\nAutism can get thrown in there and really mess up a reading. Actors can also give off fake facial clues. \n\nIf your work can help further the research like this: [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640856/](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640856/) then it will be better received. Note that there are already a number of AI models that are used to try to predict emotions and all of them have at this point proven the above points.",
"label": "r/deeplearning",
"dataType": "comment",
"communityName": "r/deeplearning",
"datetime": "2024-05-19",
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}
Entry Information
- Entry ID: 8282
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000