USE CASE
Spam Messages Collection
Text datasets of emails of different formats for training a neural network to identify spam and classify messages
Machine Learning
Enables computer systems to automatically learn from data and make predictions
NLP
The ability of a system to understand, analyze and interpret human's languages
Safety
Training algorithms to recognize situations that can cause harm
Data Collection
Gathering data for subsequent annotation
Our Partners
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CASE DESCRIPTION
SMS Spam ENG
- 10 000 emails
- 2 weeks
Data generation of unsolicited text messages, which includes promotional mailings, viral links, microfinance offers and other fraudulent schemes in English
Email Spam
- 15,000 messages
- 3 weeks
Data generation of emails and classification into two main classes: “spam” and “not spam”. E-mails with a length of 50 to 7,500 characters are written in different languages, designed in colloquial and official speech styles
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APPLICATION AREAS OF THE DATASET
Email filtering:
Classification to separate spam emails from legitimate ones, identify and filter out unwanted messages
Anomaly detection:
Text classification to identify unusual or suspicious email patterns, detect and prevent email-based attacks
NLP research:
Data in the dataset for language modeling, sentiment analysis and improving the overall performance of NLP algorithms
Cybersecurity:
Classification for the overall security posture for individuals and organizations
DIDN'T FIND THE NECESSARY INFORMATION?
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Why
Training Data
- Quality Assurance:
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Enhanced Data Accuracy
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Consistency in Labels
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Reliable Ground Truth
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Mitigation of Annotation Biases
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Cost and Time Efficiency
- Data Security and Confidentiality:
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GDPR Compliance
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Non-disclosure agreement
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Data Encryption
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Multiple data storage options
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Access Controls and Authentication
- Expert Team:
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6 years in industry
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35 top project managers
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40+ languages
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100+ countries
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250k+ assessors
- Flexible and Scalable Solutions:
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24/7 availability of customer service
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100% post payment
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$550 minimum check
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Variable Workload
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Customized Solutions
Team leads project
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Kirill Meshyk
Operations manager
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Arthur Kazukevich
Python-developer
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Ksenia Sikorskaya
Project manager
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