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What is Sentiment Search?

Sentiment Search is dedicated to providing insightful reviews for a wide range of dining venues, such as restaurants, cafes, pubs, and cloud kitchens. Our platform offers marketing, operations, and customer experience teams sophisticated insights into customer sentiment gathered from various review websites, social media channels, and internal feedback systems. These industry-specific metrics allow businesses to evaluate all aspects of their operations relative to their competitors, pinpoint areas that require enhancement, and improve their online ratings in the process. In addition, we give senior management a detailed perspective on their brand's overall performance while identifying locations that may not be meeting expectations. Our tools also empower businesses to track industry-specific trends and observe any changes in customer sentiment that occur after adjustments in staffing, menu selections, or renovations. Moreover, we facilitate the benchmarking of sentiment for individual locations as well as the brand overall against industry competitors, promoting data-driven decision-making and strategic development. Ultimately, our service aims to transform customer feedback into actionable insights that drive business growth and elevate the dining experience.

What is Azure Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.

Media

Media

Integrations Supported

Integrations Supported

Azure Marketplace
TAS Insight Engine
Unremot

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Sentiment Search

Date Founded

2019

Company Location

United Kingdom

Company Website

www.sentimentsearch.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

Categories and Features

Marketing Analytics

Not specified

Sentiment Analysis

Not specified

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization

Sentiment Analysis

Not specified

Text Analytics

Not specified

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