TERAGRAM SENTIMENT ANALYSIS MANAGER

Teragram Sentiment Analysis Manager (SAM) is a social media analysis tool that captures relevant product reviews enabling brand managers to analyze the sentiments expressed by their products’ end–users. SAM’s automated processes locate and analyze digital content in real time to determine the writer’s emotional meaning, identify changing trends, while catching singular product defects early.

Teragram Sentiment Analysis Manager pulls consumer reviews from mainstream sites such as Amazon and Overstock, as well as social media outlets like blogs and Twitter messages, and captures the overall opinion of the combined assessments. SAM also analyzes the number of stars in a product rating to extract the general consumer reaction to the product. Teragram Sentiment Analysis Manager searches and evaluates both positive and negative phrases in these texts, including an analysis of the subtle, and often seemingly contradictory, emotional content of the words comprising this review. SAM provides a detailed breakdown of these online evaluations allowing users to extrapolate information from SAM and to create color–coded graphs to understand exactly what these online posts mean in terms of the overall expressed sentiment for their brand.

Traditionally, the process of analyzing text to discover the positive and negative emotions of the reviewer has been labor intensive. These reviews have also been the domain of professionals. Today, with the advent of social networking sites, the multi–faceted complexities of capturing, returning, and analyzing this data in real–time have exploded. It has never been more crucial for profitable companies to quickly identify the public sentiment that is being expressed for their products.

Teragram Sentiment Analysis Manager addresses the specific concerns of marketing and brand management professionals who need to discover and interpret the emotions behind the qualitative information that customers post on the Internet. For example, if a brand manager for a cellular phone company wants to gauge the overall consumer sentiment for a specific model, he or she could use SAM to crawl the Web to gain a comprehensive snapshot of the sentiment behind the reviews for this particular phone.

SAM crawls and analyzes reviews, such as, bad reception and expensive data plan, as well as feature language like fast Internet browser, and clear screen, and so forth. SAM extracts the key phrases from these reviews and also differentiates nuances when a commonly positive or negative word to express a different tone such as, not the best phone on the market.

Teragram created Sentiment Analysis Manager so that marketing and brand management professionals could distinguish exactly what their customers are writing about their products in online forums in real time. Teragram’s Advanced Linguistic and Content Categorization technologies have enabled us to introduce this statistical– and Linguistic–based, customizable system to an industry that has relied on qualitative research in the past.

Solution

Teragram offers the industry’s most comprehensive Sentiment Analysis solution. It enables organizations to:

• Measure overall customer response to brand and products
• Identify trends in sentiment
• Identify sentiment singularities triggered by brand or product problems
• Compare customer reaction between brands
• Improve the response time in addressing customer problems
• Improve brand image
• Zoom-in on sentiment associated with product features

Hybrid System: Combining Statistics and Linguistic Rules

Teragram Sentiment Analysis Manager uniquely combines an array of state–of–the–art statistical techniques and rules based techniques. This unique combination enables high accuracy and unparalleled flexibility.

Reporting and Dashboard

SAM run–time includes different reporting and monitoring tools, including overall sentiment as well as specific feature sentiments in the overall documents. Also included is the capability to the track sentiment over time.