4. A customer predictive experience platform, comprising: a processor; a memory with instructions executable by the processor, the processor configured both for identifying, building, and reinforcing positive sentiment, and for specifically responding to negative sentiment by: generating an alert in a new thread; using text mining and targeting an issue; containing, limiting, and focused responding to the issue, and actively managing and recovering in the case of negative sentiment; amplifying positive sentiment, volume and building authority in the case of positive sentiment, and driving customer education and feedback learning and action; the processor configured for providing automation enhancing brand ambassadors; integration into corporate messaging and marketing, including two-way information exchange and synergy; and the processor configured for providing a live portal to manage social media engagement and feedback.
4. A customer predictive experience platform, comprising: a processor; a memory with instructions executable by the processor, the processor configured both for identifying, building, and reinforcing positive sentiment, and for specifically responding to negative sentiment by: generating an alert in a new thread; using text mining and targeting an issue; containing, limiting, and focused responding to the issue, and actively managing and recovering in the case of negative sentiment; amplifying positive sentiment, volume and building authority in the case of positive sentiment, and driving customer education and feedback learning and action; the processor configured for providing automation enhancing brand ambassadors; integration into corporate messaging and marketing, including two-way information exchange and synergy; and the processor configured for providing a live portal to manage social media engagement and feedback. 12. The platform of claim 4 , said processor configured for: performing text mining to find positive outcomes for similar issues, which are then used in social media; said text mining incorporating a full range of automated text analysis techniques, including any of word spotting, key word and phrase, semantic context, subject and phrase categorization, and frequency distributions; wherein said text mining techniques are applied to determine an intent and subject of each sample of text and to organize resulting data into specific recommendation and insights.