Unlock the Potential of Your News Archive
Harness advanced NLP techniques for organised, easily searchable archives, and ignite creativity with innovative angles on past news.
NLP-enrichment
Uses advanced NLP techniques like Entity Recognition and Sentiment Analysis to structure news archive content
Automatically identifies and extracts entities such as people, organisations, and locations to make the content more searchable and understandable
Provides sentiment analysis to gauge the mood and tone of the news articles and help users quickly filter for positive or negative sentiment
Creative intelligence extraction
Generate new and innovative ideas for news stories from your archive by using JECT.AI’s creativity engine
Provides a platform for exploring different angles and perspectives on a given topic or event, sparking creativity and inspiration
Offers suggestions for related articles, topics, and themes to help users discover new content and generate fresh ideas
AI-powered search
Uses advanced search algorithms to quickly and accurately locate specific news articles within the archive
Enables users to filter search results by date, topic, author, location, and other relevant criteria
Provides a user-friendly interface for easy navigation and efficient browsing of archived news content.
