Brand/Product/Reputation Monitoring

Problem

You need to get an overall picture of the health of your brand, a quick snapshot you can use as a key performance indicator.

Data sources:

Product reviews, email messages, business reviews, social media posts, news articles, blog posts, forums.

Solution

Extract rich insight into what users are expressing by identifying a wide range of language utterances.

Codeq’s API offers a granular approach to identify not only sentiment from texts, but also emotions, giving you a richer way to understand your users. Our sarcasm detection module works in combination with the sentiment and emotion detectors, something you won’t find anywhere else.

API modules

  • Sentiment Classifier
  • Emotion Classifier
  • Sarcasm Classifier
  • Named Entity Recognition
  • Named Entity Linking
  • Named Entity Salience

Case Study

Borneo is a large shopping site with an impressive number of reviews of many products.

Users have expressed dissatisfaction with the star rating system currently in place as it can be manipulated by companies who pay users to leave reviews.

  • Using the sentiment, emotion, and sarcasm classifiers, Borneo can create a rating system with more meaningful scores that measure things like enjoyment, satisfaction, and value.
  • Links to other product pages can be created easily using our named entity module.

Example:

My friend had the original SoundLink and it was phenomenal. So I thought I would have to get one. However, this new speaker sounds very bad!

The Nintendo Switch is a great console. My issue is that games are ridiculously expensive. So many are over priced. Also, the monthly subscription only gives you access to old fashion 80s games.