- Need tagged text data of any domain. Preferably generalized and ubiquitous domains such as "Food & Hospitality" (Reviews about the quality of the food, comments about the ambience and service etc. This can be found in reviews for restaurant websites or food delivery and review sites like Zomato).
- More Details : Each review might be classified into various classes*. This makes it a multi-class classification problem. Classes* - Important "aspects" that the review is talking about.
Here I also mentioned the Sentiment Column (Which is 3 class, Positive, Negative and Neutral). Typically every domain, a broad class of aspects would be decided and tagged.
Can anyone link me to good data sets that meet the requirement? I will be needing hundreds of thousands data. The more, the better. Or suggest me an alternative way ?