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The dataset used for performing Text Classification is a combination of two different datasets scrapped from the comment section of two Youtube channels namely "Veen's Curryworld" and "Lekshmi Nair". The data is extracted using the YouTube API and contains two atrributes namely “text” and “label” where the former contains the comments and later contains the corresponding label. The comments are classified into 7 labels: - Label 1: Gratitude - Label 2: About the recipe - Label 3: About the video - Label 4: Praising - Label 5: Hybrid - Label 6: Undefined - Label 7: Suggestions and Queries The number of instances in each category is listed below: - Label 1: 484 - Label 2: 396 - Label 3: 300 - Label 4: 362 - Label 5: 249 - Label 6: 2062 - Label 7: 438
MALAYALAM, ENGLISH, MACHINE LEARNING, BERT, CLASSIFICATION
MALAYALAM, ENGLISH, MACHINE LEARNING, BERT, CLASSIFICATION
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 30 | |
| downloads | 3 |

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