AI-Powered Efficiency at Retriever

At Retriever, we've been harnessing the power of Artificial Intelligence for over a decade, consistently pushing the boundaries to integrate AI into every facet of our services - from social media management to media monitoring and analysis. 

Our commitment is to provide our customers with cutting-edge technology ensuring both efficiency and effectiveness in our solutions.


Comprehensive AI Integration Across Platforms

Retriever leverages a combination of proprietary language models in Danish, Norwegian, Swedish, and Finnish alongside major models like OpenAI's ChatGPT. This mix allows us to offer an advanced and diverse toolkit that powers various aspects of our platforms.


Social Media Management

In the realm of social media, AI plays a critical role. Here are some of the ways how:

  • Sentiment Analysis: We use AI to determine whether a post is positive, neutral, or negative so you get an overview on the reception of themes relevant to you and can measure your audience's sentiment.

  • Abnormality Detection: AI helps identify unusual changes and events on social media platforms, enabling early detection of trends or shifts in public opinion.
  • Keyword Extraction: This feature extracts crucial words and phrases from social posts, simplifying the aggregation of large data volumes and enhancing trend analysis and overview creation.

  • Optimal Posting Times: AI predicts the best times to post based on historical engagement data, optimizing content reach and interaction.


Media Monitoring and Analysis

AI's integration extends deeply into our media monitoring and analysis processes: 

  • Entity Extraction: We reduce noise in search results by identifying key entities like people, places, and organizations, which helps in refining search accuracy without manual filters.
  • Advanced Relevance Filtering: With the use of AI, we reduce noise and select the most relevant articles for your organization. This is especially useful when searching for relevant content in topics with high coverage such as environmental, political, or other more topic-based searches in real-time. 
  • Sentiment Analysis: We analyze the tone of media mentions from your organization's perspective – whether they are positive, neutral, or negative from your brand's viewpoint. This provides unique insight into the emotional states of your media visibility from a tailored perspective.
  • Speech-to-Text Technology: By converting speech from radio, TV, and online videos into text, we expand our coverage and improve the accuracy of content analysis, far surpassing traditional methods.
  • Summarization: AI aids in condensing large volumes of media content into digestible summaries, allowing quick insights into the data’s core messages and trends.


Future Enhancements under Development

Looking forward, Retriever is excited to introduce more innovative features in 2024. These include a chat-based analytics interface for interactive media data analysis and advanced suggestions for social media content generation in Retriever Publish, providing fresh inspiration for our users.


While we continue to innovate, we remain conscious of AI’s limitations. At Retriever, technology is always paired with a human perspective. Our team is always ready to assist, ensuring that our solutions are tailored to meet specific client needs effectively and responsibly.


In conclusion, we are committed to not just keeping pace but setting the pace in AI applications in social media management and media monitoring. Our goal is not only to enhance product quality and efficiency but also to ensure these tools are used in a way that genuinely adds value to our clients' operations.


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