Moodwire Company Brochure

About Moodwire We deliver solutions that tune into the voice of the consumer, helping you discover, track, and classify opinion and emotion about your brand, products, and services. In addition, our diverse platform offers the ability to benchmark your offerings against your competitors and selectively participate in the dialogue. Our goal is to provide a faster and deeper understanding of innovation and positioning opportunities as well as changing market perceptions and their influence on buying decisions.

Our Leadership Team• Manu Chatterjee, Chief Executive OfficerMr. Chatterjee has spent 20 years creating software for speech recognition to DSP to embedded microcontrollers. Previously he founded Lampdesk which was acquired by Palm in 2007 and led to the creation of Palm/HP webOS.  While there he also created Touchstone, the first mass produced wireless power & data system for mobile devices. Manu has 28 issued patents, with over 50 pending.

• Erick Watson, Chief Product OfficerMr. Watson is the CPO for Moodwire, where he is charged with commercializing Moodwire’s extensive IP portfolio in text analytics, classification, sentiment analysis and influence. Prior to Moodwire, Mr. Watson spent 10 years at Microsoft, where he led successful initiatives in research & development, partner strategy, and professional services. Mr. Watson has led product development for several successful start-ups including Consonus and Excell Data.

• Kevin Perillo, Director of Engineering Mr. Perillo has 25 years of experience working in technology roles across a variety of software development companies. He is responsible for design and implementation of Moodwire’s online services to Fortune 500 customers. He enjoys the challenge of building great products and strong teams.

• Dr. Rabia Nuray-Turan, Chief ScientistDr. Nuray-Turan is a computer science PhD with a passion to derive actionable insights from massive amounts of textual data. She fell in love with NLP, when she was working on a class project to build a Turkish syllable detection for the Automata Theory class. Ever since, her passion has been studying and designing/building algorithms for entity resolution, text mining, entity extraction, and record linkage.

• Brian Lue, Director of Quality Assurance Mr. Lue is focused on how information is manifested in linguistic, business, chemical and biological systems. He is obsessed with figuring how to innovate and make such systems more useful to people. He has been a key player at startup organizations in small and multi-billion dollar companies. At Applied Materials he was the seventh employee of the HDPCVD division that leveraged his technology to grow to over $4 billion in sales.

http://www.moodwire.com • 650.391.9314

The Pulse of the Web™Social web sites such as twitter and Facebook have generated a “Big Bang” of social expression- an always-on, world-wide phenomenon. As the importance of this social web content increases, so too does the need to decipher it. Unfortunately, more than 90% of this content is unstructured, creating real difficulties for brands who are interested in separating the signal from the noise. In the resulting chaos, the opinions that individuals express and brands desire is drowned out and lost.

Imagine if you could effectively access and decipher the relevant social web content. Imagine uncovering the latent treasure hidden in social conversations and gauging real-time consumer sentiment and influences. With Moodwire’s social sentiment platform, you can.

Our ApproachAt Moodwire, we offer a unique and radically different approach to effectively extracting customer sentiment from social web. As the leading software provider of search for the social web, we offer you solutions that help you discover what people really think and feel about your brand. With our sentiment and influence engines, we help transform your company into a social enterprise, offering actionable insights at low cost and in near-real-time with high accuracy.

How do we do it?We begin with the backbone of our solution, a classification engine that straightens unstructured information into useable taxonomies. Next, we use a powerful sentiment engine to break down words and phrases and decide whether they reveal positive or negative attitudes. You can monitor this sentiment in real-time or over an extended period of time. Using our intuitive and easy-to-use consoles, you can filter and dig deeper into the information you accrue to gauge the impact of blog postings, twitter accounts, and more on your products and services, you can use our influence engine.

The end result of our platform is your empowerment; the ability to quickly and fairly

respond to people,at once protecting your brand and respecting the consumers’ right to offer an opinion.

Moodwire Engine™

The Moodwire’s Engine, gathers raw social data in the form of tweets, blogs, product reviews and relevant news stories and literally reads people’s actual comments to transform the raw data into useable taxonomies. Moodwire’s engine identifies companies, products, and industries and provides simple categories and deep search capabilities to quickly find pearls of wisdom in the ocean of data that is the World Wide Web.

Moodwire Web Console™ (alpha)Investigate how your products and services perform in comparison to your competitors. Moodwire’s Web Console offers highly customizable filters that help you analyze sentiment expressions processed by Moodwire’s Sentiment Engine. You can view the data in text or graphical form or ‘click through’ to the actual web page to see the sentiment in the full context of the post. Because the WebVane Console is deployed as a secure software-as-a-service (SaaS), it does not require any on premise installation.

Moodwire BuzzRank™

BuzzRank captures the valid occurrences of companies or products in raw data. BuzzRank filters away spam, repeated tweets, and non-relevant text. For example, a text passage containing the word “apple” could be a discussion about the company Apple® or it could be a discussion about fruit.  BuzzRank™ technology identifies and counts the relevant passages to provide a reporting mechanism for our customers so they can see both the raw occurrences of terms (such as fruit and the company here) vs. relevant occurrences of terms (regarding Apple® the company and not fruit) online.

Moodwire TypeRank™

Separate from buzz is categorization of passages in to logical groupings. For example, we categorize comments about "hotels" by type such as “rooms”, “service”, “baggage” etc.  This allows a customer (a hotelier in this example) to view only those comments relevant to particular aspects of their business.  TypeRank™ is different than sentiment, as people may make statements which don’t contain sentiment but are still very valuable for our customers to see what is being talked about in public.

Moodwire MoodRank™

This is our sentiment engine output. It measures the degree of positivity or negativity of a given passage, such as tweets, blog posts etc.  MoodRank™ provides customers with a clear picture of the human emotions that are being expressed about their company, brands, product lines and services.

Moodwire API™

The Moodwire API™ provides full programmatic access to all moodwire.com data feeds and analytics for use in our partner's and customer's own data analysis products. We provide full access to all of our metrics including MoodRank™, BuzzRank™, TypeRank™ in sortable JSON feed format in near real-time.

SparkScore® powered by MoodwireIncorporate feedback directly from the social web. Moodwire, in partnership with

Satmetrix®, is the exclusive provider of SparkScore®, a Net Promoter® (NPS) score derived from expressions of sentiment on the social web. NPS, used by more than half of the Fortune 2000© companies, is widely recognized as the gold standard for measuring customer satisfaction.