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Narayanamurthy T liked AI's blog post A framework for automated rating of online reviews against the underlying topics
Friday
AI posted a blog post

A framework for automated rating of online reviews against the underlying topics

Online reviews are valuable sources of relevant information that can support users in their decision making. An estimated 92% of online shoppers read online reviews, 88% trust online reviews as much as personal recommendations and they typically read more than 10 reviews to form an opinion. The objective is to propose a framework aimed at improving user experience when faced with an otherwise unmanageable amount of online reviews and automatically rate them on a 5-star scale.The framework…See More
Thursday
AI liked AI's blog post A framework for automated rating of online reviews against the underlying topics (**details of 5 modules updated**)
Wednesday
AI's blog post was featured

A framework for automated rating of online reviews against the underlying topics

Online reviews are valuable sources of relevant information that can support users in their decision making. An estimated 92% of online shoppers read online reviews, 88% trust online reviews as much as personal recommendations and they typically read more than 10 reviews to form an opinion. The objective is to propose a framework aimed at improving user experience when faced with an otherwise unmanageable amount of online reviews and automatically rate them on a 5-star scale.The framework…See More
Wednesday
AI posted a blog post

A framework for automated rating of online reviews against the underlying topics

Online reviews are valuable sources of relevant information that can support users in their decision making. An estimated 92% of online shoppers read online reviews, 88% trust online reviews as much as personal recommendations and they typically read more than 10 reviews to form an opinion. The objective is to propose a framework aimed at improving user experience when faced with an otherwise unmanageable amount of online reviews and automatically rate them on a 5-star scale.The framework…See More
Wednesday
AI liked Data Geek's blog post k-nearest neighbor algorithm using Python
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AI liked Vincent Granville's blog post Fascinating Chaotic Sequences with Cool Applications
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Nov 1
AI liked CD's blog post From social media to public health surveillance: Word embedding based clustering method for twitter classification
Oct 25
AI liked AI's blog post A framework for automated rating of online reviews against the underlying topics
Oct 23
AI commented on AI's blog post A framework for automated rating of online reviews against the underlying topics
"Hi V Sai Venkat: We operate under an assumption that the rating is correlated with the sentiment strength. To calculate the overall sentiment, each sentence is analyzed separately using the weighted word embeddings method. The sentiment score…"
Oct 23
Duane Baker liked AI's blog post A framework for automated rating of online reviews against the underlying topics
Oct 23
V Sai Venkat commented on AI's blog post A framework for automated rating of online reviews against the underlying topics
"Whqt is the model behind projecting the sentiment score to rating scale?"
Oct 20
AI posted a blog post

A framework for automated rating of online reviews against the underlying topics

Even though the most online review systems offer star rating in addition to free text reviews, this only applies to the overall review. However, different users may have different preferences in relation to different aspects of a product or a service and may struggle to extract relevant information from a massive amount of consumer reviews available online. In this paper, we present a framework for extracting prevalent topics from online reviews and automatically rating them on a 5-star scale.…See More
Oct 17
AI posted a blog post

A framework for automated rating of online reviews against the underlying topics

Even though the most online review systems offer star rating in addition to free text reviews, this only applies to the overall review. However, different users may have different preferences in relation to different aspects of a product or a service and may struggle to extract relevant information from a massive amount of consumer reviews available online. In this paper, we present a framework for extracting prevalent topics from online reviews and automatically rating them on a 5-star scale.…See More
Oct 16

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AI's Blog

A framework for automated rating of online reviews against the underlying topics

Posted on November 15, 2017 at 2:30pm 0 Comments

Online reviews are valuable sources of relevant information that can support users in their decision making. An estimated 92% of online shoppers read online reviews, 88% trust online reviews as much as personal recommendations and they typically read more than 10 reviews to form an opinion. The objective

is to propose a framework aimed at improving user experience when faced with an…

Continue

A framework for automated rating of online reviews against the underlying topics

Posted on October 15, 2017 at 9:00am 2 Comments

Even though the most online review systems offer star rating in addition to free text reviews, this only applies to the overall review. However, different users may have different preferences in relation to different aspects of a product or a service and may struggle to extract relevant information from a massive amount of consumer reviews available online. In this paper, we present a framework for extracting prevalent topics from online reviews and automatically rating them on a 5-star…

Continue

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