Database Reference
In-Depth Information
provide more real-time workload optimization, removing hotspots in a
cloud or grid environment, and even reviewing tickets and knowledge bases
for common issues using natural language processing. Although this topic
does not go into detail about natural language processing, many other topics
do, and many technologies that really excel in natural language processing
run in this ecosystem.
Natural language processing comprises a set of tools and software
components that developers can leverage to analyze voice recordings or text
documents to determine what the user is asking or trying to do. Developers
can tell whether the user is happy or sad, positive or negative, forceful
or not forceful. We can measure many things through natural language
processing, and we can apply simple natural language processing to large
call center ticketing systems that large organizations have. Developers can
then deal with a significant number of common trouble tickets by either
fixing the underlying issue or by providing additional user training. Any of
those options may provide significant relief.
In conjunction with real-time machine workload information coming from
the logs of large cloud or grid systems, developers can use native ecosystem
tools to begin to analyze that data and initiate processes to move the
workload to different parts of the cloud. The resultant elasticity and ability
to scale more efficiently may thus allow them to be more responsive to their
customers.
Marketing Social Sentiment
The ubiquity of social media provides an unprecedented opportunity for
marketers. Brands can now understand their influence and presence
measurement across a wide variety of populations and geographies. This
information has never before been as readily accessible as today, and it is
becoming increasingly accessible as new networks and new technologies
come online.
Measuring an organization's brand/presence influence with respect to
marketing impact is generally referred toas social sentiment analysis. Social
sentiment analysis, something that most companies say that they want,
usually falls within the purview of the marketing department. Real-world
social sentiment analysis considers, among other things, the following:
• Positive and negative statements made about your brand
