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Recipe Reviews and User Feedback
The "Recipe Reviews and User Feedback Dataset" is a comprehensive repository of data encompassing various aspects of recipe reviews and user interactions. It includes essential information such as the recipe name, its ranking on the top 100 recipes list, a unique recipe code, and user details like user ID, user name, and an internal user reputation score. Each review comment is uniquely identified with a comment ID and comes with additional attributes, including the creation timestamp, reply count, and the number of up-votes and down-votes received. Users' sentiment towards recipes is quantified on a 1 to 5 star rating scale, with a score of 0 denoting an absence of rating. This dataset is a valuable resource for researchers and data scientists, facilitating endeavors in sentiment analysis, user behavior analysis, recipe recommendation systems, and more. It offers a window into the dynamics of recipe reviews and user feedback within the culinary website domain.
Turkish Music Emotion
There are four different classes of music emotions in the dataset: happy, sad, angry, and relax.
Roman Urdu Sentiment Analysis Dataset (RUSAD)
The dataset was gathered to carry out research on the task of sentiment analysis for Roman Urdu.
TamilSentiMix
We created a gold standard Tamil-English code-switched, sentiment-annotated corpus containing 15,744 comment posts from YouTube.
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