TIQ Solutions Social Media

Sentimentanalysis

TIQSentiVal is the sentiment analysis tool for Web 2.0 data. It can analyze a person’s emotions from published tweets, status messages or online comments.

 

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Sentiments are moods, sensations or opinions based on an emotion which a person may have regarding a business, a product, a service or another person. Generally speaking, you can differentiate between three categories of sentiments: positive, negative and neutral ones. Sentiment analysis will not only enable a business to know who has written content referring to it where and when, but also whether such content presents a positive, neutral or negative sentiment.


This makes TIQSentiVal a key analytic tool for companies, market researchers, advertising companies and other organizations. One click is all it takes to find out how people respond emotionally at any particular point time to one’s own products, services and business or to those of others. In this way, TIQSentiVal facilitates market analyses or the monitoring and analysis of advertising campaigns. Based on the findings, companies can improve and perfect subsequent marketing and promotional activities.

 

Key features of TIQSentiVal

  • Analyses of social media streams (currently Twitter; LinkedIn, Facebook, YouTube etc. under development)
  • QlikView-based interactive in-memory analysis software
  • dashboard with sentiment performance metrics
  • integration into other QlikView dashboards possible
  • different customization/branding options
  • single user and server-based intranet solutions
  • integration for mobile devices (iPad, BlackBerry, Android)

 

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Besides the integrated method, the following external professional Sentiment Analysis APIs are attachable:

  • Alchemy
  • Repustate
  • SentiRate
  • TwitterSentiment
  • Viralheat

TIQSentiVal is available for the analysis of the following languages:

  • English
  • Japanese
  • German

 

TIQSentiVal is the sentiment analysis tool for Web 2.0 data. It can analyze a person’s emotions from published tweets, status messages or online comments.

 

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