Repustate Description
Repustate is an AI-powered semantic search, sentiment analytics and text analysis platform that provides world-class AI-powered data mining for organizations worldwide. It allows businesses to analyze terabytes and uncover valuable, actionable business insights. Repustate offers continuous deep dives into complex, integrated data across all industries, from our respected clients in the Healthcare sector to leaders in Education, Banking, Governance.
Our solution drives sentiment analysis, text analytics, Voice of Customer (VOC), video content analysis (VCA), across platforms. It covers the multitude of acronyms, emojis, and slangs that supersede formal language in social media. It doesn't matter if you have data from Youtube, IGTV or Facebook, Twitter, TikTok or your own customer reviews forums, employee surveys or EHRs. You can pinpoint the most important aspects of your business.
Repustate Alternatives
Komprehend
Komprehend AI APIs provide the most complete set of document classification and NLP programming APIs for software developers. Our NLP models have been trained on more than a million documents and provide state of the art accuracy for most NLP use cases, such as sentiment analysis or emotion detection. Get our Text Analysis API free demo. It provides useful insights from textual data and maintains high accuracy in real life. It can work with a variety data types, from healthcare to finance. Private cloud deployments via Docker containers and on-premise deployments are supported. This prevents data leakage. Your data is protected and the GDPR compliance guidelines are followed to the letter. Monitor online conversations to understand the social sentiment surrounding your brand, product, and service. Sentiment analysis, also known as contextual mining of text, is a method that extracts and identifies subjective information from the source material.
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MeaningCloud
MeaningCloud is the easiest, most cost-effective, and most cost-effective way to extract meaning from unstructured content (articles, documents, social conversations, etc.).
We offer text analytics products that provide the most accurate insights possible from any content in any language. We do it both SaaS-based and on-prem. We have worked in a variety of industries, including pharma, finance, media and retail. We develop tailored and industry-specific solutions.
Our scenarios include:
* Insight extraction
* Analysis of the voice and opinions of the customer, employee or citizen. (User experience analytics and customer experience analytics in general.
* Intelligent document automation
Our APIs are free to use (20,000 API calls per year). Get our add-ins for Excel or Google sheets. Our integrations with Dataiku RapidMiner, Automation Anywhere, and Automation Anywhere as well as our SDKs (PHP, Python, Java and JavaScript) are available.
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Gavagai
Our AI-powered natural speech processing technology can extract, analyze, and visualize customer communications. Chats, emails, chats, support tickets, return requests, social media, surveys, and call transcriptions. All available in 47 languages Explorer makes it easy for anyone to analyze open-ended text responses in just minutes. Explorer offers an API that allows users to integrate unstructured text data into their business intelligence ecosystem. Employee experience is the study of factors that motivate and make employees happy. Our products allow companies to quickly process, analyze, and understand large amounts unstructured natural languages data. A simple platform to create custom bots that are tailored to your business needs. You can start in minutes for immediate efficiency gains. The Gavagai API supports 47 languages. Get our endpoints right away!
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Google Cloud Natural Language API
Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.
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Pricing
Pricing Starts At:
$299 per month
Pricing Information:
English language only
Document Sentiment only
Standard Document Volume
Basic Support - Email
Cloud API
Document Sentiment only
Standard Document Volume
Basic Support - Email
Cloud API
Free Trial:
Yes
Integrations
API:
Yes, Repustate has an API
No Integrations at this time
Company Details
Company:
Repustate
Year Founded:
2008
Headquarters:
Canada
Website:
www.repustate.com
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Product Details
Platforms
SaaS
Windows
Mac
iPhone
iPad
Android
Type of Training
Documentation
Live Online
Customer Support
Phone Support
24/7 Live Support
Online
Repustate Features and Options
Natural Language Processing Software
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Data Mining Software
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Social Media Analytics Tools
Campaign Analytics
Competitor Monitoring
Customizable Reports
Engagement Tracking
Influencer Tracking
Multi-Channel Data Collection
Text Mining Software
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
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