WHAT IS TEXT ANNOTATION?
Text Annotation Services for Machine Learning models can understand text data by using text annotation. The common workflows include entity recognition and classification, sentiment analysis, intent analysis, and entity recognition. Based on the project guidelines, the data is parsed to the required categories, including keywords, sentences, phrases and phrases. Annotated datasets allow machines to communicate in natural language, just like humans.
WHAT ARE THE TYPES OF TEXT ANNOTATION SERVICES?
LABELIFY’S TEXT ANNOTATION SERVICES
SENTIMENT ANALYSIS
Labelify’s topic and sentiment analysts can detect trends and nuances in large amounts of text data, including product reviews and financial news.
INTENT ANALYSIS
The experts at Labelify text annotation bring together the building blocks of NLU to develop next-generation chatbots, digital assistants and conversational AI products in healthcare, finance, tech media and retail.
NAMED ENTITY RECOGNITION (NER) & ENTITY CLASSIFICATION
Labelify identifies, classifies, and links relevant text strings. This allows for innovation in digital document analysis and conversational AI development.
TEXT ANNOTATION PROCESS
Labelify subject matter experts will guide you through the process to develop a customized end-to-end workflow.
1. Expert Consultation
Transformative, solution-based approach. Multidisciplinary problem solving. Improved resilience and agility.
2. Training
Targeted resources. Custom skilling. Deep and focused microlearning. Domain expertise. Rostering tools.
3. Workflow Customization
Alignment between processes and tools. Structured Development Milestones. Production and QA annotations can be done in two steps.
4. Feedback Cycle
Analytics can help you achieve transparency Real-time Monitoring and Service Delivery Insights. Edge Case Insights. Dynamic Model Improvement.
5. Evaluation
Evaluation of the deliverable. Evaluation of the most critical metrics and quality assurance procedures. Model reconsideration. Analyse of the business’s performance.