Direct Arabic products' opinions data set for opinion mining and sentiment analysis'
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The products' opinions in Arabsentiment dataset is collected manually from different social products' resources for opinion mining, feature extraction and sentiment analysis tasks. The collected opinions included different types of direct opinions that include at least one product feature whether it stated explicitly or in implicit manner. The dataset contains twenty different products categories like home, baby, different types of software products and other product types. Additionally, the products’ features are identified manually from the customer opinions and the product description. The products are classified according to each product type and there is a specific search query related to each type. For each product, the product name and brief description about the product capabilities are registered in products information' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["opinion Retrieval, Opinion Mining, Sentiment Analysis"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The products' opinions in Arabsentiment dataset is collected manually from different social products' resources for opinion mining, feature extraction and sentiment analysis tasks. The collected opinions included different types of direct opinions that include at least one product feature whether it stated explicitly or in implicit manner. The dataset contains twenty different products categories like home, baby, different types of software products and other product types. Additionally, the products’ features are identified manually from the customer opinions and the product description. The products are classified according to each product type and there is a specific search query related to each type. For each product, the product name and brief description about the product capabilities are registered in products information' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The products' opinions in Arabsentiment dataset is collected manually from different social products' resources for opinion mining, feature extraction and sentiment analysis tasks. The collected opinions included different types of direct opinions that include at least one product feature whether it stated explicitly or in implicit manner. The dataset contains twenty different products categories like home, baby, different types of software products and other product types. Additionally, the products’ features are identified manually from the customer opinions and the product description. The products are classified according to each product type and there is a specific search query related to each type. For each product, the product name and brief description about the product capabilities are registered in products information
opinion Retrieval, Opinion Mining, Sentiment Analysis