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A text analysis technique to classify the news into Several topics such as Sports, Business, Films etc. It helps the customers to select a particular topic of their choice.
Reading the whole newspaper and not able to find the news we’re searching is still a tedious task. Our model helps to classify the topics accordingly and make it much more easier for the users to look into the right bucket. It is also helpful for a restaurant or Retail shops by making their menu in a more organized way and help the customers take lesser time to select the item.
We are always there to fine-tune your processes by developing a custom framework by implementing such amazing and accurate problem-solving techniques in your organization.
Classify text as positive, negative or neutral and return as classifier
Classify Customer sentiments towards certain entities
Classify social media sentiments towards certain entities
Summarize any piece of text with just a click
Automatically identify the key information within a document
Generate a human quality title for the Source
Classify text as likely to have been written by a human or machine
Extract email address from text
Extract date and time from text
Extract person names from text
Extract locations from text and give coordinates
Extract Phone numbers from any piece of text
Extract company and organization entities from text
Classify outbound sales email responses based on their subject and body
Classify news based on Topics
Classify retail products based on their descriptions
Classify job titles into categories
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