Classify emails as positive, negative and neutral
Email Sentiment is a NLP technique that is used to understand the tone of a email.
Performing sentiment analysis on emails allows companies to know if incoming messages are positive, negative, or neutral, and provides them with real-time insights to prioritize accordingly.
Established stages which reader, taken possession of my entire soul, like these sweet mornings of spring of enjoying with the theory of ethics.
Praesent commodo cursus magna, vel scelerisque nisl venenatis dapibus posuere velit aliquet.
Classify text as positive, negative or neutral and return as classifier
Product Review Sentiment Analyser
Classify Customer sentiments towards certain entities
Social Media Sentiment Analyser
Classify social media sentiments towards certain entities
Summarize any piece of text with just a click
Key Phrase Extractor
Automatically identify the key information within a document
Generate a human quality title for the Source
Synthetic Text Detection
Classify text as likely to have been written by a human or machine
Extract email address from text
Date and Time Extractor
Extract date and time from text
Person Details Extraction
Extract person names from text
Extract locations from text and give coordinates
Phone Number Extractor
Extract Phone numbers from any piece of text
Company Details Extractor
Extract company and organization entities from text
Outbound Sales Response Classifier
Classify outbound sales email responses based on their subject and body
Classify news based on Topics
Classify retail products based on their descriptions
Role Function Classifier
Classify job titles into categories