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Text analytics
Text analytics to identify meanings, entities, relationships from unstructured texts. Automation of extracting process and structuring of important information from text data.
With the help of text analytics, we can solve the following tasks:
- text documents clustering and classification,
- extraction of events, subjects and objects related to them,
- Sentiment/tonality analysis and mentions monitoring,
- information campaigns identification, complaints and appeals analysis,
- identifying the relationships of named entities in the documents body,
- associative fuzzy search for messages and documents,
- reduction of semantic monotony.
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Data processing and visualization systems
Data processing includes operations such as aggregation, obtaining summary characteristics for a certain period, determining the characteristics of a data set depending on the requirements. This allows us to conduct dynamic tracking of metrics of interest.
We develop and implement systematization processing methodologies and databases organization. We develop the information flows logistics.
We visualize the data in a user-friendly form:
- immersive BI dashboards,
- heat maps,
- interactive sites and applications.
We can integrate the application into the client's CRM/ERP system or set up email notifications about significant market events.
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R&D
We have vast experience and a growing knowledge base in building a large number of ad-hoc research and products for end users. Thanks to this, we can choose the most effective solution for any client's tasks.
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Outsourcing
We offer following products:
- development and implementation of systematization processing methodology and databases organization,
- Big Data management and systematization,
- data calibration and verification,
- data scientists teams provision.
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Data separation
Labeling, classification and clustering of high-dimensional text data.
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Analysis of socio-demographic indicators
Relationships identification between behavior in social networks and psycho-socio-demographic profile using DISC, OCEAN methods.
