An Excellent Tool for Text Analytics
March 10, 2022
An Excellent Tool for Text Analytics

Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with OpenText Magellan
There are multiple business problems you get from your clients where you need to study a lot of unstructured data. It could be ranging from social media analytics or call centre data or any review data. Text mining is the process of deriving high-quality information from text. This software is much intuitive and easy to use. Text mining goes beyond simply searching for keywords. It uses powerful algorithms to analyse that content, determine what a given piece of text is about and assess its relevance. We have use cases of this software in helping multiple industries' clients pre-dominantly in Retail and CPG. Sentiment analysis and text segmentation are key project types that we use this software for. Generally, we used to have Python and R text libraries to solve these issues but this software simplifies the process and reduces the requirement of coding.
Pros
- Sentiment analysis for one of the gaming client
- Text segmentation for social media analysis
- Summary creation from multi page documents
Cons
- Image processing and understanding
- Video analytics, there is a huge scope there
- Manual intervention or scope of customization
- Saving on analyst hours in writing the codes
- Increasing the accuracy
- Reading the hidden messages in the text
There is multiple software available in the market to do the reporting and text analytics. Generally, analysts prefer using Python or R. Or we try to use any API available. This software can fulfill almost 80% of those needs without writing the codes. It has the integration with R as well for any further extension.
Do you think OpenText Magellan delivers good value for the price?
Yes
Are you happy with OpenText Magellan's feature set?
Yes
Did OpenText Magellan live up to sales and marketing promises?
Yes
Did implementation of OpenText Magellan go as expected?
Yes
Would you buy OpenText Magellan again?
Yes
Comments
Please log in to join the conversation