Lettria

Key features and benefits of Lettria include:

• No-code interface - No coding required to use the platform's NLP features
• Comprehensive text processing - Structured data extraction, classification, summarization, sentiment analysis, and more
• Knowledge graph creation - Automatically build a knowledge graph from your text data
• Custom model building - Users can upload their own data to train custom NLP models
• Cloud-agnostic - Can be deployed on any private or public cloud
• Secure and private - Complete control over data security and privacy

How Does Lettria Work?

• Lettria leverages cutting-edge NLP and machine learning technology to "read" and understand text. The platform is powered by large language models like GPT-3 that have been fine-tuned on Lettria's proprietary datasets.
• Users can connect their text data sources like documents, emails, chats, surveys etc. to Lettria. The platform then cleans, normalizes and structures this text data to make it analysis-ready.
• Lettria provides an array of NLP capabilities like classification, entity extraction, sentiment analysis and more to generate insights. Users can visualize data through charts, graphs and extracts.
• Advanced users can also upload their own labeled data to train custom NLP models tailored to their specific use case.

Key Features and Capabilities

Data Collection and Preparation

• Text ingestion - Seamlessly connect to data sources like databases, cloud storage, websites, APIs etc.
• Data cleaning - Fix typos, merge acronyms, handle abbreviations, correct spellings and more.
• Text normalization - Convert text to a standard format for easier analysis.

Text Analysis

• Entity extraction - Automatically identify people, organizations, locations, dates, quantities and more.
• Relation extraction - Understand connections between entities.
• Sentiment analysis - Determine positive, negative and neutral sentiment.
• Text classification - Categorize text as per predefined or custom labels.
• Topic modeling - Discover hidden semantic structures and group documents by topic.

Knowledge Graph Creation

• Knowledge graph builder - Visualize entities and their relations as a structured graph.
• Graph analytics - Analyze connections and relationships between entities.

Custom Model Building

• Data labeling - Annotate text data based on your requirements.
• Model training - Use your own labeled data to train a custom NLP model.
• Active learning - Continuously improve model accuracy by labeling new data.

Easy Visualization and Reporting

• Interactive dashboards
• Customizable reports
• Data extracts
• Charts and graphs

Use Cases

Lettria can help with various text analysis use cases:

Customer Support

• Analyze customer conversations to identify common complaints, feedback and queries.
• Route questions to right support agents based on analysis of ticket content.
• Monitor sentiment across interactions to gauge customer satisfaction.

Market Research

• Understand customer opinions and feedback from surveys, reviews, social media posts etc.
• Group open-ended survey responses by topic for easier analysis.
• Gain insights into competitors from analyst reports, news articles and other text sources.

Document Analysis

• Extract key entities, relationships and facts from legal contracts and other documents.
• Classify documents into categories.
• Search documents more intelligently with semantic search.

And many more! Brand monitoring, recruitment, content tagging, content generation, search improvement and any other use case involving large volumes of text.

Who is Lettria For?

Lettria serves a broad range of industries and roles:

• Business teams - Sales, Marketing, Customer Support, Business Operations
• Data teams - Data Scientists, BI analysts
• IT teams - Engineers, Developers
• Consultants - Strategy, Operations
• Academic researchers - Social Sciences, Humanities

It can benefit companies of all sizes given its flexible deployment options. The no-code interface makes it accessible to users without an engineering background.