We use the following collection of word lists to empower our premium corpus analyzer: exterior environment impact, consumer value network, retail science, virtual reality and five senses, personal image building, smart consumer behavior, human psychology and emotions. The analysis method is modified to meet each industrial specifics and therefore increase the reliability of quantitative data.

Our special data mining techniques can collect contents from any column of desired web sources, whether the text body is part of forum posts, thread titles, comments, or the user account, posting time and posting locations, we have access to the most complete information.

The Chinese semantic analysis tool highlights the ability to process large data set and to classify keywords as positive sentiment, negative sentiment or neutral feeling.

The result of PMI analysis is beyond any quantitative data. This innovative technique is powered by special algorithm that compute online mentions to dig up keywords that are highly relevant to your brand and discover consumer insights that are still unknown to your competitors.

Consumer’s words matter. We study what they say, pick out specific words that ignite fire and define the emotional patterns hidden in Chinese language.

We measure negative and positive sentiment strength of a text body by combining actual experiments, surveys and text analysis. The result is examined carefully and cross-checked with demographic variables and nature of the brand.

We monitor current market situations, examine the data pattern, uncover future trends and evaluate the interior condition and the exterior environment. With the aid of accurate information and industrial knowledge, we help you grasp the trend.

At i-Buzz, we go extra mile. By using big data analytics, online word of mouth strategies and artificial intelligence technologies, we are able to understand consumer insights, and therefore suggest the best solution to customer relationship management.