Data Collection
Sentiment Analysis and Classification
Influencer Detection
Data Representation

Summary

Somatech develops a customizable solution that rapidly capitalizes on the vast amount of underutilized (textual and structured) CRM data. The solution accesses and analyses the invaluable information generated by customers through emails, social media and call center records so providers can proactively improve customer satisfaction and reduce problems.

Highlights

  • Expertise with Data Mining and Machine Learning
  • Easily scalable and configurable
  • Participated MIT Global Founders' Skills Accelerator (MIT GFSA) 2013 as the only Turkish team
  • SAP Startup Focus Program technical validation
  • SAP HANA integration for scalable text analysis

  • MIT_GFSA_2013 SAP_SFP
    Our social analysis engine as used in different products to turn massive volume of social data into meaningful results.

    • Social Monitoring for Presidential Election from this link... (Cumhurbaşkanlığı seçimi için sosyal medya takibini bu linkten yapabilirsiniz. )
    • Have a look at the summary for Presidential Election from this link... (Cumhurbaşkanlığı seçimi için yaptığımız analizlere bu linkten ulaşabilirsiniz.)
    • Reach Soma tweets and analysis from this link... (Soma faciasıyla ilgili analizlere bu linkten bakabilirsiniz.)

    Information Categorization

    Our summarization engine can analyse a list of reviews about a particular brand or product and categorize them according to different aspects. The grouped reviews would be easy to go through and analyze.

    Information Summarization

    In addition to aspect-based categorization, our summarization engine can be used to group reviews according to sentiment and informativeness; and to remove short or slang reviews while summarizing their sentiment statistically.

    Sentiment Analysis

    Our sentiment analysis engine can analyse a given natural language text and extract the sentiment (negative or positive) in it. It can thus be used for categorizing and quantifying comments in social media. Our technologies are developed both for Turkish and English.