Products
Natural Language Processing
Prepare data for building chatbot
Prepare data for building chatbot
Natural Language Processing
Share
Analysis of arguments and objections in sales conversations
Analysis of arguments and objections in sales conversations
How should the agent argue to dispel all doubts of the buyer? Which arguments are the best and what is better not to mention? What are the most common refusal reasons?
With this informations, you will be able to respond to customer needs much better. Perhaps you will find out that the rules of the promotion are misunderstood or customers answer with a simple 'no’, to which it is best to tell them that they have the option of resigning from the service if it does not work for them…
The rest of the article is available on the link below: https://colab.research.google.com/drive/1wj8MJivIuNq04pBtPqW_FnCDfpgCnbWL#scrollTo=a14fba00
(NOTICE) In order to be able to use the notebook and send requests to our services, you have to upload a 'credentials.ini’ file to the runtime workspace (the main directory, next to sample_data folder). You can obtain one by getting in touch over at https://voicelab.ai/contact.
Use advanced AI-fueled technologies to improve your business
Author: Patrycja Biryło
Natural Language Processing
Share
Prepare data for building chatbot
Obtaining data to build effective chatbot
Are you having trouble dealing with all of the customer service required for your business to run? Or maybe it is simply taking too much time? Well, a very common choice is to develop a chatbot that will take the burden of your arms. However, it is not that simple. Building a good bot requires a great insight into your customer contacts and it is not an easy task to carry out manually. This notebook will show you how you can automatically extract a lot of useful data to help you achieve your goal of automated customer service.
The rest of the article is available on the link below: https://colab.research.google.com/drive/1wj8MJivIuNq04pBtPqW_FnCDfpgCnbWL#scrollTo=a14fba00
(NOTICE) In order to be able to use the notebook and send requests to our services, you have to upload a 'credentials.ini’ file to the runtime workspace (the main directory, next to sample_data folder). You can obtain one by getting in touch over at https://voicelab.ai/contact.
Use advanced AI-fueled technologies to improve your business
Author: Filip Żarnecki
Check More Posts
Natural Language Processing
Share
Agent sentiment rating
Finding the most empathetic employees
Your company is very prosperous, more deals are closed every single day. However, with great success come great responsibilities, one of which is customer service. You employ a lot of agents that handle contact with numerous clients. But a question arises.. which agents are the best at dealing with customers? Who is the most empathetic employee whose best practices, when spread across company, could boost the effectiveness significantly?
Let’s find out…
The rest of the article is available on the link below: https://colab.research.google.com/drive/1Nazvef5jfn3dFDiXIjwJacST5hsz9EFh
(NOTICE) In order to be able to use the notebook and send requests to our services, you have to upload a 'credentials.ini’ file to the runtime workspace (the main directory, next to sample_data folder). You can obtain one by getting in touch over at https://voicelab.ai/contact.
Use advanced AI-fueled technologies to improve your business
Author: Alicja Golisowicz
Check More Posts
Natural Language Processing
Share
Who is the problem
Finding out who stands behind problems in our calls – agent or client?
It is not an easy task to identify what is really going on in our dialogues, especially when the volumes are big. But it would be extremely useful to quickly assess whether the client is the one causing trouble or the agent. Knowing this would allow to take targeted, knowledge-based actions that would solve problems much more quickly and cost-efficiently, not just shooting blanks hoping for a solution. How to achieve this?
Let’s find out..
The rest of the article is available on the link below:
https://colab.research.google.com/drive/1-4Q-xyHkCLDR7D-vDAVrkvmpHSRaFDgz
(NOTICE) In order to be able to use the notebook and send requests to our services, you have to upload a 'credentials.ini’ file to the runtime workspace (the main directory, next to sample_data folder). You can obtain one by getting in touch over at https://voicelab.ai/contact.
Use advanced AI-fueled technologies to improve your business
Author: Filip Żarnecki
Check More Posts
Natural Language Processing
Share
Have you ever wondered why your clients contact you?
Have you ever wondered why your clients contact you?
Have you ever wondered why your clients contact you? Do you have dialogs with your clients and wanted to easily detect the reason for contact and train your own model to detect it in your new data, based on previous interactions? You can easily use our reason for contact detection to annotate your data and train a model of your own.
Let’s find out how…
The rest of the article is available on the link below: https://colab.research.google.com/drive/1Nazvef5jfn3dFDiXIjwJacST5hsz9EFh
(NOTICE) In order to be able to use the notebook and send requests to our services, you have to upload a 'credentials.ini’ file to the runtime workspace (the main directory, next to sample_data folder). You can obtain one by getting in touch over at https://voicelab.ai/contact.
Use advanced AI-fueled technologies to improve your business
Author: Patryk Neubauer
Check More Posts
Natural Language Processing
Share
Predicting impactful client messages
Predicting impactful client messages
Often it’s hard to know what makes your clients react in one way or another. Some things related to the company or particular topics, might have particularly high impact on your clients – whether it’s negative or positive, it’s useful to know what causes it. Combining our Sentiment Classification and Intent prediction you can find out which client statements are of high impact.
The rest of the article is available on the link below:
https://colab.research.google.com/drive/1Imy844Mi5k9RCI5XICyfhfNhmu_nBwA4
(NOTICE) In order to be able to use the notebook and send requests to our services, you have to upload a 'credentials.ini’ file to the runtime workspace (the main directory, next to sample_data folder). You can obtain one by getting in touch over at https://voicelab.ai/contact.
Use advanced AI-fueled technologies to improve your business
Author: Patryk Neubauer
Check More Posts
Natural Language Processing
Share
SUMMARIZE DIALOGUES
Summarizing Client calls
Dialogue summary is an easy way to analyze previous conversations with customers. It allows you to have a good grasp of the discussion without the need to read lengthy transcripts. Every summary analysis provides mentioned topics, keywords, intents, sentiment and more.
The rest of the article is available on the link below:
(NOTICE) In order to be able to use the notebook and send requests to our services, you have to upload a 'credentials.ini’ file to the runtime workspace (the main directory, next to sample_data folder). You can obtain one by getting in touch over at https://voicelab.ai/contact.
Use advanced AI-fueled technologies to improve your business
Author: Alicja Golisowicz, Patrycja Biryło
Check More Posts
Natural Language Processing
Share
Annotate your data
Annotate your data
When developing an NLP solution it is often problematic to transfer the model to a new domain. The issue might be a lack of properly annotated dataset or one that is not big enough to provide full domain knowledge, even though you have a lot of audio recordings available. Annotating additional, large volumes of your data might be very costly and cost-inefficient, especially when dealing with multiple languages, since you’ll need separate teams for each one. However, you can make use of that data in an unsupervised learning manner – it is proven to greatly increase model comprehension on examples similar to those from pre-training phase. The recordings simply need to be properly formatted.
The rest of the article is available on the link below: https://colab.research.google.com/drive/1Uw7yV1iA2oBmnVPyRIQHmJXoSiER_yUG?usp=sharing
(NOTICE) In order to be able to use the notebook and send requests to our services, you have to upload a 'credentials.ini’ file to the runtime workspace (the main directory, next to sample_data folder). You can obtain one by getting in touch over at https://voicelab.ai/contact.
Use advanced AI-fueled technologies to improve your business
Author: Patryk Neubauer
Check More Posts
Natural Language Processing
Share
Why are clients calling?
Discovering clients’ reasons for contact
Adressing customer wants and needs is crucial for prosperous business operations. However, it is not always easy, the amount of contacts every day can get overwhelming and it might be challenging to discover the most common issues. With the help of our Intent Recognition and Reason for Calling module you can quickly reveal the subjects that your clients struggle with the most often. You might also discover problems that you have not been aware of. With such knowledge in hand you can design much more effective FAQ that will take a great burden off of your arms or improve the product/service in ways that you wouldn’t have thought of otherwise. But how to achieve that?
The rest of the article is available on the link below:
https://colab.research.google.com/drive/1g1RLbMeTXuDyFszCjNnp8WM-6DnTP-M4
(NOTICE) In order to be able to use the notebook and send requests to our services, you have to upload a 'credentials.ini’ file to the runtime workspace (the main directory, next to sample_data folder). You can obtain one by getting in touch over at https://voicelab.ai/contact.
Use advanced AI-fueled technologies to improve your business
Author: Patryk Neubauer
Check More Posts
Natural Language Processing
Share
Predicting impactful agent statements
Often it’s hard to know what makes your clients react in one way or another. Some things related to the company or what your agents are saying, might have particularly high impact on your clients – whether it’s negative or positive, it’s useful to know what causes it. Combining our Sentiment Classification and Intent prediction you can find out which agent statements are of high impact to clients.
The rest of the article is available on the link below:
https://colab.research.google.com/drive/1WAmM4T-slDLXhd64-NimaQY0_juZAe9V?usp=sharing
(NOTICE) In order to be able to use the notebook and send requests to our services, you have to upload a 'credentials.ini’ file to the runtime workspace (the main directory, next to sample_data folder). You can obtain one by getting in touch over at https://voicelab.ai/contact.
Use advanced AI-fueled technologies to improve your business
Author: Filip Żarnecki