Sentiment Analysis For Hotel Amenities

Overview

Travel industry uses sentiment analysis to understand customers and improve their experience. Brand monitoring, competitive research, product analysis – these are just several ways OTAs and hotels apply it. The AARCHIK data science team considered a traveler-facing spin on this technology

Novotel Paris Centre Gare Montparnasse 01
Novotel Paris Centre Gare Montparnasse 01

Sentiment Analysis For Hotel Amenities

Overview

Travel industry uses sentiment analysis to understand customers and improve their experience. Brand monitoring, competitive research, product analysis – these are just several ways OTAs and hotels apply it. The AARCHIK data science team considered a traveler-facing spin on this technology

Business Need

The sentiment analysis framework uses natural language processing (NLP) and can help travelers get the most detailed information about a hotel, check amenities ratings, and compare hotels based on these parameters. The tool aggregates customer-created hotel reviews from public sources, analyzes them, and then generates amenity quality ratings for each hotel.
The framework started as an internal proof of concept, is now ready for integration into travel review platforms and online travel agencies that distribute hotels as a plug and play module

Scope

New Product

Industries

Travel and Tourism

Services

Strategy & Consulting

Technologies

Business Need

The sentiment analysis framework uses natural language processing (NLP) and can help travelers get the most detailed information about a hotel, check amenities ratings, and compare hotels based on these parameters. The tool aggregates customer-created hotel reviews from public sources, analyzes them, and then generates amenity quality ratings for each hotel.
The framework started as an internal proof of concept, is now ready for integration into travel review platforms and online travel agencies that distribute hotels as a plug and play module

Scope

New Product

Industries

Travel and Tourism

Services

Strategy & Consulting

Technologies

Solution Provided

01

Defining hotel amenities comparison criteria and the overall product concept

02

Preparing a dataset with labeled sentiment for amenities

03

Training a model to score and analyze the reviews by amenities

04

Creating a user-friendly interface
Novotel Paris Centre Gare Montparnasse 02

Solution Provided

01

Defining hotel amenities comparison criteria and the overall product concept

02

Preparing a dataset with labeled sentiment for amenities

03

Training a model to score and analyze the reviews by amenities
Novotel Paris Centre Gare Montparnasse 04
Novotel Paris Centre Gare Montparnasse 04
Novotel Paris Centre Gare Montparnasse 03

Challenges

01

Initially getting training data sets were a challenge

02

Research was needed for accurate mathematical and statistical models for the analysis

03

Appropriate NLP frameworks were needed to fit the mathematical and statistical models

04

Front End Frameworks for building the appropriate UI

05

Micro services Architecture For Plug and Play Modules

Challenges

01

Initially getting training data sets were a challenge

02

Research was needed for accurate mathematical and statistical models for the analysis

03

Appropriate NLP frameworks were needed to fit the mathematical and statistical models

04

Front End Frameworks for building the appropriate UI

05

Micro services Architecture For Plug and Play Modules

Benefits

The project’s scope was 8 man-months. The product was completed over the course of 2 months by a team of five professionals: 2 machine learning engineers, a software engineer, a UI/UX designer, and a project manager.
The technology stack of the project included Python, NLTK, Keras, and TensorFlow (for the algorithms), HTML and JavaScript (for the user interface).
Novotel Paris Centre Gare Montparnasse 05

Benefits

The project’s scope was 8 man-months. The product was completed over the course of 2 months by a team of five professionals: 2 machine learning engineers, a software engineer, a UI/UX designer, and a project manager.
The technology stack of the project included Python, NLTK, Keras, and TensorFlow (for the algorithms), HTML and JavaScript (for the user interface).

Have A Query?

Do you need a detailed consultation or feasibility study for this topic? Or it maybe you just want to exchange views and thoughts on this topic. Do get in touch with us and we would be glad to share a cup of coffee together and discuss this topic together.

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Have A Query?

Do you need a detailed consultation or feasibility study for this topic? Or it maybe you just want to exchange views and thoughts on this topic. Do get in touch with us and we would be glad to share a cup of coffee together and discuss this topic together.

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