Machine Overview

• Machine Name : Generic Review Sentiment Analysis
• Title : Sentiment Analysis on Customer Review
• Short Description :
  This machine uses a pre-trained model to analyze customer review sentiments based on extracted aspects, identifying positive, negative, or neutral feedback.
• Detail Description : This machine performs sentiment analysis on customer reviews. It extracts specific aspects from the input reviews and uses a pre-trained Hugging Face model to analyze the sentiment. The process identifies whether customer feedback is positive, negative, or neutral based on the aspects, helping to understand customer opinions and sentiments more effectively.
• Machine Document : -

Classification

• Industry : Hospitality
• Category : Sentiment Analysis
• Sub Category : -

Compatibility and Dependencies

• Dependent Machines : Generic Google Review Extractor
• Compatible Machines : -
• Version : 1.0.0

Specifications

• Input Specification : Download aspects: [String]
• Output Specification : Download

  competitor_hotel_data_with_sentiment: dict client_id: dict property_code: [object] customerreview: [object] name: String review: String time_of_review: String user_rating: Number max_rating: Number rooms: Number service: Number location: Number domain_name: String link_of_review: String reviewsentiment: String aspectsentiment: dict room: String bathroom: String cleanliness: String staff: String service: String amenities: String breakfast: String safety: String location: String noise: String bugs: String money: String stay: String pool: String hotel_info: dict hotel_name: String rates: Number totalreview: Number rating: String hotel_address: String contact_number: String official_site_link: String ratedate: String ratingfrom: String rate_data: [object] ratefrom: String rates: Number ratedate: String other_ratings: [object] rating: String ratingfrom: String totalreview: Number locationrating: String cleanlinessrating: String service: String value: String

Infrastructure Requirement

• OS Requirement : Linux
• CPU : 2
• Cloud : AWS
• RAM : 4Gi

Usage Stats

• Total OnBoarded : -
• Active OnBoarding : -