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Deep Talk
Cos'è Deep Talk?
Deep learning per i team di successo dei clienti, vendite e IA. Analizza testo, e-mail, chat, sondaggi, social network o dati di testo generici utilizzando l'intelligenza artificiale. Rileva opportunità di vendita, reclami, lead, miglioramento delle funzionalità, ecc.
Chi utilizza Deep Talk?
Analizza i dati di testo da più fonti utilizzando modelli di intelligenza artificiale avanzati, senza dover assumere un team di scienza dei dati. Ideale per: Proprietari di prodotti e team di servizi ai consumatori che desiderano analizzare i dati dei consumatori per migliorare la soddisfazione del cliente.
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Deep Talk
Recensioni su Deep Talk

DeepTalk tells you what your data is really saying vs what you want it to say. Invaluable tool.
Commenti: I have loved it. Really cool, interesting, and incredibly useful data analysis. I am using it for economic and market analysis. This is taking parts of my process to a different level. And the graphics are next level as well so they make reports looks great.
Aspetti positivi:
I don investment research and I am able to feed it FOMC minutes, statements, speeches, etc. I can feed it earnings calls or anything really. It does a great job of breaking down what is being said and showing the trend over time plus so much more. I have been using it a lot and find new insight every day.
Aspetti negativi:
this space is relatively new so I am not sure what it is lacking. The only thing it needs is an API, but I knew that coming in and it should be released to us in the next 3-6 weeks, so I dont look at it as a con.
Risposta di Deep Talk
3 anni fa
Thank you very much for your review David. Today we launched our API. Have a great week
Deep Talk - Simplifies Conversations
Aspetti positivi:
I have used Deep Talk and it is amazing when it comes to text mining Thanks to the AI features, it makes data analysis easy and simplifies communication understanding. I like the multiple Customer engagement features.
Aspetti negativi:
It is a super solution and no major issues
Alternative considerate:
Experience using this Machine Learning Platform for clustering the Wine review dataset
Commenti: I had quite nice experience with the tool. I was able to generate useful visualizations and draw actionable insights along with deriving key insights from the project results, however, I had to navigate to another platform for using sentiment analysis for the same dataset. so it was a learning experience using this platform with the provided features but also had to use more tool for doing Sentiment analysis that helped me to quickly understand the metrics for positive, negative and neutral reviews.
Aspetti positivi:
Topics and Subtopics related connection, Time series of the graph, Unburst chart and many more functionalities. Ease of use and User experience, easy to create projects and classify and train the model.
Aspetti negativi:
The tool also analyzed the additional column input with the dataset which gave additional analysis for user city, manufacturer, Id, categories, etc. but they were not that refined charts, thus it was ignored for my analysis in the project. In my view, the software can further improve to understand multiple columns of data and give a proper analysis of additional columns of data. The representation of the charts for these dataset were of negligible use. The additional columns should be used to aid in the primary analysis, which I found was lacking in this platform
Risposta di Deep Talk
3 anni fa
Thank you for your review! we will take in consideration some of the features you mentioned. Thank you!
Flexible data analysis tool
Aspetti positivi:
Deep Talk provides me with a lot of option of platforms that can be connected like hubspot, Zendesk etc. it also displays great infographics to help me properly visualize the data.
Aspetti negativi:
Its a very useful and valuable tool for me.
Test your machine learning ideas quickly and easily
Commenti: Excellent, more companies should be testing if the data and problems they have can be enhanced with machine learning. Deep Talk makes this easy.
Aspetti positivi:
If you have some data and a problem to solve then Deep Talk is an excellent way of testing if machine learning and NLP can add value. It "understands" your data much more readily than other systems I've used and then provides a pipeline to running inference models without complex machine learning engineering.
Aspetti negativi:
Once you've reaped that automatic benefits of Deep Talk from your data and your problem set there is no clear path forward. Typically in machine learning you establish a baseline and then iterate, through data and code, on improving that score. With Deep Talk I don't know see how this is possible as there is no export to code or export to another more customisable machine learning platform.
Risposta di Deep Talk
3 anni fa
Thank you Paul!!... today we have launched our API to iterate results and trained models with other services.

Make sense of unstructured data
Aspetti positivi:
It works well at extracting insights from unstructured text for sentiment analysis and topic clustering
Aspetti negativi:
Relative lack of integrations — currently must import my data as CSV
Risposta di Deep Talk
3 anni fa
Thank you Kejda for your review, we are launching this week an integration with Zapier to integrate with hundreds of apps. Have a great week!
A million use cases for a unique data analysis tool
Commenti: Fantastic tool with a million uses. Be creative; you could start your own market research firm using this tool, scraping data for resources online and reporting on trends, sentiment, etc.
Aspetti positivi:
I love that Deep Talk lets you import bulk data and turn it into insights. I can pull in marketing data, book manuscripts, whatever I want, and it can report on data and trends hidden within this data.
Aspetti negativi:
It takes a little time to understand how everything works, but it is pretty intuitive.
Risposta di Deep Talk
3 anni fa
Thank you very much for your review
Easy solution for complex text analysis
Commenti: Great!
Aspetti positivi:
Easy to use GUI and strong visualisations/drill-down.
Aspetti negativi:
There was a service outage yesterday so none of my files would validate.
Risposta di Deep Talk
3 anni fa
Thank you very much for your review!!

Turn common data into data that works for you
Commenti: Would recommend it to anyone who needs to grab random data to turn it into usable data.
Aspetti positivi:
I like turning twitter data into data that works for me. It will analyze and make a cluster of keywords that I can dig further to analyze.
Aspetti negativi:
I think the dashboard can be improved to make it more modern. Also, they should implement webhooks and API to have data analyzed automatically.
Risposta di Deep Talk
3 anni fa
Thank you for the review. Have a great week!
How to get more insights from your surveys
Commenti: It was easy to use, straightforward and I got great insights. I found there was a keyword many students were using that was very important to add to the content of the course we deliver.
Aspetti positivi:
Finding the most critical points on a satisfaction survey I did from a course was straightforward. I imported the CSV with the answers and Deep Talk gave me insights into the words the students used that were most important.
Aspetti negativi:
The user interface could be better designed.
Risposta di Deep Talk
3 anni fa
Thank you for your Review!
Easy to use platform to discover insights in my text data
Commenti: Great experience, we analyze thousands of surveys in just a few minutes.
Aspetti positivi:
How easy it was to analyze my data. I uploaded the surveys and in less than 10 minutes I got the topic classification and other metrics. Also we started training deepers to fin complaints in the surveys.
Aspetti negativi:
The API was in beta at that moment but the support team told us they will open the API during May.
Risposta di Deep Talk
3 anni fa
Thank you Alexander!
The translation quality from english to german is superb.
Aspetti positivi:
Easy to use, great quality of the translation
Aspetti negativi:
Nothing so far - maybe that there are no cheaper priced packages.
Risposta di Deep Talk
3 anni fa
Thank you Stefan for your review!