Once your data has been captured, it will need processing before it is usable. Data retrieved from the web can be messy and require preparation before you let it near your system. We have powerful tools that can turn bad data into good data which will give your business the edge.
If required, we can implement custom data processing steps to ensure that the data your system receives adheres to the quality and formats you require. This could be as simple as adding the correct country code to a phone number or as in depth as generating structured entity/relationship maps for the data.
Sentiment analysis is the analysis of text to determine the sentiment portrayed within. For some given text, we will identify the sentiment and can give you the probability of that sentiment being accurate. This data can be used to determine the common feeling toward certain topics or events.
Subjectivity analysis will tell you whether a piece of text is subjective or objective. We will also, like Sentiment Analysis, give you the probability expressing how confident we are in our prediction. This data is useful in conjunction with the Sentiment Analysis results above to categorise text to determine the underlying meaning.
Aspect based sentiment analysis
Aspect based sentiment analysis extracts various aspects from text and indicates whether the feeling towards them is positive, negative or neutral. For example, a hotel review such as "The room was very spacious and comfortable. The food in the restaurant was dreadful; it was undercooked. The cleaners were very efficient and polite." could be broken down to show:
We currently support multiple aspect sets (such as hotels as described above, restaurants etc.) and are adding more all the time. Custom aspect sets relating to a specific business domain are fully supported by our service.
Parts of speech analysis
Parts of speech analysis analyses text to identify the parts of speech according to the Penn Treebank II tag set. Each word is analysed to categorise it as a noun, verb, determiner etc. This is normally used as data on which further analysis can be performed.
Object detection is the analysis of images to identify common objects within. Our services can currently identify 90 common objects such as people, cars, buses, sandwiches etc. A rectangle is superimposed on the image to identify the area in which the object is detected. Each object is annotated with the object type and the probability of the prediction.
Logo detection is similar to object detection above, but rather than identifying common objects, it identifies logos within images. We are able to train our detection service to identify any logo so if we're not already identifying a particular logo you require, it's no problem! Below is an example of our KFC logo detection.
All of our analysis tools are available as API services for integration into your existing products. Click here for more information.
Get in touch
If you're interested in utilising our data processing & analysis services, get in contact!