Keatext

Avantages

The Keatext interface is clear and easy to use. Keyword groupings and the display of sentiment measurement graphs are useful.

Inconvénients

None. We have not completed the product testing yet. A complementary offer for other data formats would be appreciated.

Avantages

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.

Inconvénients

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.

Avantages

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.

Inconvénients

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

Avantages

Keatext is a very powerful tool. It has many functions while performing your customers better with efficient way. Especially comperative analysis helped me a lot.

Inconvénients

Nothing specific, but in this kind of softwares ,users may need additional how to guide videos or documents.

Avantages

Power to analyze thousands of text data rows.

Inconvénients

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.

Avantages

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.

Inconvénients

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

Avantages

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

Inconvénients

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.

Avantages

Simply put, I love Keatext. Keatext enables me to draw out insights and create concomitant visualizations, and to do so quickly. It is easy to use and intuitive. Beyond the tool itself, the Keatext team goes above and beyond to serve their clients, whether through trainings or quick-turnaround scrape requests. Keatext is not cheap but the value it delivers--both in terms of the tool itself, as well as the time it saves me from writing scrapes and do a completely manual analysis--is more than worth it.

Inconvénients

Some workflows and work areas within the tool still feel a little clunky.

Avantages

Easy to use, good visuals, easy to import data... it was fun to see hypotheses get confirmed or infirmed by the analysis. It was the first time that i tried a software with a sentiment analysis this well presented. I was able to export intelligence from my analyses that were very valuable to me.

Inconvénients

Sentiment analysis needs very large amounts of data to be relevant. Even if i liled the output, i was not able to get lots of value with smaller data sets. The precision was sometimes off and i had to manually analyse the data afterwards.

Avantages

Keatext was easy to download and delivers on its promise to categorize large amounts of text data into digestible pieces/themes.

Inconvénients

Keatext does not allow you to regroup easily, and doesn't appear to learn new categories after you have previously grouped them manually

Avantages

I thought it was interesting to have a quick and easy way to see positive comments and negative comments as a trend and by terms.

Inconvénients

The AI would often wrongly flag things as negative or positive because our users use interesting expressions and speak extremely casually. The software doesn't provide us enough value because it doesn't help our staff answer tickets more quickly.

Avantages

Simple to use - Steps are easy to understand, no chance of missing out on something important tucked away in a random corner of the interface

Inconvénients

Doesn't seem to have too many features - does sentiment analysis of keywords, allows you to bucket and create themes. What would have been amazing if it somehow grouped words together and made themes on it's own.

Avantages

The sorting features were really helpful. I liked being able to group by sentiment.

Inconvénients

There was still a TON of manual work required which was extremely time-consuming given all of the data we entered. The software didn't do a good job of grouping words that were essentially the same (e.g. Culture, culture, and cultures would be considered separate words).

Avantages

The software can process and provide verbatim very fast and in a very intuitive GUI

Inconvénients

The verbatim is mainly based on keywords used in the sentence such as "Good", "bad" etc. And aren't always accurate.

Avantages

It is another tool to use as we review the survey comments and understand the concerns.

Inconvénients

It seems a little convoluted, klunky, lots of steps to get to something useful, but still not what we are looking for.

Avantages

Grouping feature is quite convenient.
Filters is a good feature.
Sentiment analysis within grouped words is also helpful

Inconvénients

Reaching customer care is a lil bit of a hassle.
There is no way to re-classify certain words.
No option to create a word cloud.
Sentiment analysis does not work for most of the sentences.

Avantages

It is quick to set up, very easy to use and explain to others. Makes analyzing a large set of reviews quicker.

Inconvénients

Better for text analytics - sentiment analysis is not sophisticated enough.

Avantages

Help us to know the emotions of customers and the interface is really clean and userfriendly. Can put more that one database and compare them to each others.

Inconvénients

Would like to be able to separate the different data imported. For example, in different projects. Also, some icons are not that visible.

Avantages

I like that it can assess connotations within long reviews, rather than looking at each review one at a time.

Inconvénients

It is not very intuitive how to use the software. The formatting has to be a very particular way in order for your records to upload properly.