Keatext

Easy, great support and collaboration by Keatext

Pros:

The sentiment score it provides as well as the text categories such as problem, praise, suggestion, question.

Cons:

Because there is a limit of data depending on you pricing, when you upload a file by error (not right file, data not prepared before hand, etc.) and have to delete and reupload, it counts in the data limit. However, I must say Keatext has always been very open to exceptions to increase limit in the past for these special situations.

You will like it

Comments: Definitely recommended if you’re interesting in analyzing text feedback and use it for decision-making.

Pros:

I got a chance to use Keatext for a client and I loved it. There are so many ways you can use this tool to get better at marketing. The sky is the limit – literally. Since then, I have recommended this tool to several clients who were struggling to understand their customers and were interested in creating buyer personas. 1. Easy-to-use rather it is fun app that will make you love you work. 2. Great customer support. 3. Let’s you monitor customer sentiments, trends, and more across multiple channels.

Cons:

1. They have blacklisted IPs of several countries which restricts potential clients from accessing their website. Not sure what’s the logic here but if it’s a global tool, everyone should be able to access website. 2. Third-party integration needs more work.

Easy to use

Pros:

It's easy to import data and to analyze it, the learning curve is super fast as the software is well built and easy to learn. The team was also there for me if I had questions. I liked that I could be autonomous in a matter of hours.

Cons:

The analysis features were not exactly to my liking, and I felt the lexical analysis could use more statistical techniques for large datasets.

Good for some use cases, but not for my case

Pros:

Power to analyze thousands of text data rows.

Cons:

Limitations are so clear. 1) Filter set renews every time I update the data even though the columns are the same in the same order. 2) Cumbersome to add any filters. It would be nice to drag and drop like in Excel pivot table or in Tableau. 3) Its AI is not able to read beyond typos. Making sure the thousands of rows of text data doesn't contain any typo is a burden for its users. 4) Noun = topic, adjective = sentiment -- too binary. What if users express the same idea by saying "reliability is great" and "reliable product"? Shouldn't it be considered the same? But Keatext doesn't know how to do that. 5) Unclear how retraining works. There were 1000 times I wanted to retrain the AI, but there wasn't enough guideline. 6) AI can't read between the lines. It's too single dimensional. Nuance won't be picked up by Keatext.

Does most of the work on its own, and easy to use

Pros:

I love the user interface and how easy it is to move between pages. and we can just keep clicking on the words to go deeper.

Cons:

the thesaurus function is a bit annoying. Sometimes even after we merge the words, they are still visible as separate words. It would be nice if a word cloud can be generated for the entire database