Only then can organizations leverage their knowledge assets to support search, litigation, eDiscovery, text mining, sentiment analysis, and business intelligence
Here are a mix of business purposes for the software: Email Replacement/Reduction Portal Replacement (redcuce) Collaboration Complexity Intermediation Externalization Innovation Management Leveraging IP Serendipity Customer Support SME Establishment Community Building Prediction Markets Sentiment Analysis Supporting Legacy Systems Streamlining Integration Each tool has strength and weaknesses in these areas
We’ve even got some new stuff we can play around with thanks to social media, text analytics, sentiment analysis, etc
Office workers will not be able to process 50x more emails per day – they will use social filters and analytics to learn from big data – similar to what many people already do on Twitter with hashtags and sentiment analysis
It also means businesses can gain new insight through both content and social analytics, as well as sentiment analysis
Post-publication monitoring on the other hand is often a good thing for any number of reasons including sentiment analysis and brand awareness