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. 6. The platform of claim 4 , said processor configured for: effecting negativity identification and for providing a corresponding alert in connection with access to a database of words and phrases, including context of said words and phrases, that indicates a negative reaction by an author of a text thread, and prioritizing and being further selective in providing alerts based on the author's influencer score, wherein said text stream is continuously scanned by a monitor to look for words and phrases from the database; and providing a set of trigger thresholds which are set initially based on historical data, and then adjusted by real-time results and learning; wherein if an amount of negativity in a text thread exceeds the threshold settings, then an alert is triggered; and wherein structured data is integrated into threshold scoring.