Where do i get get datasets annotated for sentiment analysis in the customer support domain?

Question

I am new entrant in this field and looking out for dataset recommendations 

Answer 1

If you are looking out for a proper dataset in the customer support domain, you can check out-

kaggle

Google Dataset Search

Data.gov

If you are in need of a specific dataset related to sentiment analysis in the customer support domain that includes market research, customer feedback, you can check Bytesview.

Bytesview's customer support solution can help your support teams be prepared for all unexpected emergencies or interactions with customers.

It can gather and analyze customer support data from multiple channels and analyze it to provide valuable insights to improve the efficiency of your support teams.

Hope this helped you in some way.

Answer 2

You can fund datasets for sentiment in the customer support domain  on sites such as Kaggle, UCI Machine Learning Repository.and dataturks.com.. You can also look for datasets provided by companies such as Amazon Web Service and Google

Answer 3

If you are looking for datasets annotated for sentiment analysis in the customer support domain, there are a few options available. The Stanford Sentiment Treebank is a popular dataset that contains sentiment annotations for customer support conversations. Additionally, the SemEval 2017 Task 4 dataset contains sentiment annotations for customer service conversations. Finally, the CrowdFlower Customer Support on Twitter dataset contains sentiment annotations for customer service conversations on Twitter.

Answer 4

You can find annotated datasets for sentiment analysis in the customer support domain from various sources such as Kaggle, Sentiment140, and GitHub. These datasets typically contain a large number of customer support interactions or reviews, along with their corresponding sentiment labels. They can be used to train machine learning models for sentiment analysis and customer support automation. It is important to carefully select a high-quality dataset that is relevant to your specific use case and domain.

Answer 5

customer support solution can help your support teams be prepared for all unexpected emergencies or interactions with customers.

It can gather and analyze customer support data from multiple channels and analyze it to provide valuable insights to improve the efficiency of your support teams.

Answer 6

There are several sources where you can find annotated datasets for sentiment analysis in the customer support domain. Here are a few options:

1. Kaggle: Kaggle is a popular platform for data science and machine learning. It hosts various datasets, including those related to sentiment analysis in customer support. You can search for relevant datasets on Kaggle and filter by sentiment analysis or customer support tags.

2. Sentiment140: Sentiment140 is a widely used dataset for sentiment analysis, containing millions of tweets labeled as positive or negative. While it is not specific to customer support, it can still be a valuable resource for training sentiment analysis models.

3. Social media APIs: Many social media platforms provide APIs that allow you to access public posts and comments. You can use these APIs to collect customer support-related data and manually annotate the sentiment.