Our solution understands complex linguistic structures including sentences and words with shortforms, misspellings, and slangs. It understands misspellings and short forms e.g., (tidak, tak, x), (macam, mcm, semacam) etc. It can capture different hashtags and keywords related to specific issues. It can trace hashtags to retrieve background knowledge to understand a post message which was referred from another post.
Our solution can automatically classify a text message into multiple sentiment categories e.g., positive, negative, and neutral. The categories can be customized based on your requirements. The solution handles both message-level sentiment analysis and object-level sentiment analysis. User can specify sentiment analysis output for a particular target or object, e.g., a brand, a product, or a person's name).
Our solution can automatically classify a text message into multiple sentiment categories e.g., positive, negative, and neutral. The categories can be customized based on your requirements. The solution handles both message-level sentiment analysis and object-level sentiment analysis. User can specify sentiment analysis output for a particular target or object, e.g., a brand, a product, or a person's name).
Our solution can create custom categorization feature based on specific topic. For example, for banking sector, one may create multiple categories such as Mobile, Branch, Fees, Online, Support, and Products. Any users’ comments/messages will be automatically classified/categorized based into these pre-defined categories. Alternatively, for telecom sector, one may create different categories such as Postpaid, Prepaid, Fixed Lines, Internet, and Digital TV. Any users’ comments/messages will be categorized into these 5 categories. Depending on your businesses, these categories can be defined accordingly.
Our solution has the ability and flexibility to create custom sentiment rules. Not all text is the same, some industries have lingo and jargon that might mean something else in another context. We will tailor our solution to custom sentiment rules specific to your needs.
