1. Visualize the textual territory

We use machine learning algorithms to discover main topics to create navigation tools through 3D landscape across large volume of scattered textual data

2. Sentiment analysis

Find the overall emotion and attitude of the text you wish to analyze. Detect Positive, Negative or Neutral feedback from customers or understand the level of sentiment in any article.

3. 2D Maps:

Using a Machine Learning lookup model, predict and discover topics in large volumes of text. The distances between predicted topic titles and entities are clustered according to their relations in the text or article analyzed providing you with valuable insights on topics structure.

4. Discover insights from vast textual data

Using a Machine Learning lookup model, predict and discover topics in large volumes of text.

The distances between predicted topic titles and entities are clustered according to their relations in the text or article analyzed providing you with valuable insights on topics structure.

5. Word Cloud

The visual representation of the frequency of words in a text can offer a quick overview on the text data analyzed.