InMoment Text Analytics vs. Shiny

Its compatibility with Microsoft Excel makes it a great platform. It is a powerful tuning, workbench, and reporting application that resides within Microsoft Excel. This ability helps data analysts instantly gain actionable and valuable insights.

Incentivized

Shiny is well suited where an organisation is looking to empower their analysts to minimise time spent on repetitive analysis by deploying repeatable analytical pipelines, but also looking for them to add greater value to the organisation by utilising more advanced analytical techniques. Ideally it is well suited where IT are on board and supportive of some of the more advanced features such as deploying R Shiny dashboards.

Incentivized

• assign sentiment score
• word cloud
• Categorization
• multilingual
• has good visualization

Incentivized

• Data tables are appealing to look at.
• Enables us to create trend indexes in an effective way.
• Easy to integrate with the rest of my R syntax.

Incentivized

• Sentence parsing can be even better
• Sometimes cant predicts the sentiments
• Reporting can be even better with best histograms and diagrams
• Dash is somewhat difficult to understand

Incentivized

• Easier ways to connect to data sources
• Better access control for different roles in the organization
• Video material that allows a better learning experience

Incentivized

It offers extensive text analysis capabilities and you can easily create a visual representation.

Incentivized

- Faster response working with a large amount of data. - R Studio connection and flexibility. - Scenarios modelling.

Incentivized

• Diffbot content extraction
• The application integrates text analysis efficiently. I can identify changes and detect trends by evaluating posts, comments, tweets and other documentation on social media platforms and in the digital realm in general.

Incentivized

• We saw a good involvement to researchers when showing their models in shiny.
• We can have a quicker review from the user when the model is in production.
• False positives can be found easily and they help the retraining of the model.

Incentivized