Machine Overview

• Machine Name : Insert Hotel Data With Sentiment
• Title : Insert Processed hotel data into Database
• Short Description :
  This machine retrieves sentiment-analyzed hotel data and inserts it into a database for further use and analysis.
• Detail Description : This machine retrieves processed hotel data, including sentiment analysis results, from a dependent machine. It then inserts this data into a database for further use and analysis.
• Machine Document : -

Classification

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

Compatibility and Dependencies

• Dependent Machines : Generic Review Sentiment Analysis
• Compatible Machines : -
• Version : 1.0.0

Specifications

• Input Specification : Download DB_PORT: Number DB_HOST: String DB_NAME: String DB_USERNAME: String DB_PASSWORD: String
• Output Specification : Download

  status: String dependent_data: dict competiterhoteldata: 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 : 1
• Cloud : AWS
• RAM : 2Gi

Usage Stats

• Total OnBoarded : -
• Active OnBoarding : -