Overview
Social media is deeply embedded in everyday life activities, and consists of large-scale and unstructured informally expressed information. The automated analysis of this is mission critical for rapid knowledge discovery and analysis. MIMOS Mi-Intelligence comprises a series of semantic components geared towards a variety of stakeholders to analyse unstructured information for better decision making.
MIMOS Mi-Intelligence is a collection of highly customisable components based on semantic technology, machine learning and natural language processing that work together for the discovery of insights from unstructured social media contents. These insights in the form of personality, sentiment, emotion, anxiety and concerns are derived from the writings expressed by social media contents publishers on specific products, people, companies, events, or any topic of interest. Mi-Intelligence transforms these insights into visually actionable knowledge.
Technology Summary
Mi-Intelligence
A collection of highly customisable semantic components that enables the discovery of insights from unstructured social media contents.
Industries: Government, Public Safety, Enterprise
Features
Mi-Intelligence enables the discovery of hidden knowledge in social networks through:
- Content analysis algorithms
- Interactive visualisations
- Context search engine
- Big data compatibility
Technology Benefits
- Profiling and reputation management
- Risk assessment and prevention
- Market response monitoring
Mi-Intelligence comprises the following features:
Features
Mi-Intelligence comprises the following features:
- Content Analysis Algorithms
A set of scalable components to identify sentiments, entities and topics from textual content. The algorithms adopt a semantic approach utilising artificial intelligence techniques that focus on acceptance, understanding and awareness of social media
content. The algorithms address complexities in formal and informal natural language. - Interactive Visualisations
User-friendly visualisations through graphs, charts and reports show how the sentiments on a topic of interest evolve over time and space and their relation to each other. - Context Search Engine
Social media content such as posts on blogs, Twitter, Facebook and webpages are extracted in relevance to the topic of interest using a context search engine. This ensures that the analysis is performed on relevant data. - Big Data Compatibility
Mi-Intelligence components are designed to be compatible with big data processing frameworks such as Hadoop.
Technology Benefits
The main impacts of Mi-Intelligence are:
- Profiling and Reputation Management
Mi-Intelligence can be used to generate reputation profiles based on sentiments, emotions and anxiety on topics, events and
entities. These profiles can be monitored over time and space to observe important changes. - Risk Assessment and Prevention
Risks posed by postings that may lead to potentially harmful activities can be identified by Mi-Intelligence’s analysis of social media content. - Market Response Monitoring
Companies interested in monitoring brand performance can use Mi-Intelligence to measure and monitor consumer behaviour and feedback.
