Do you have questions about Proxem, our tools, our technology, our methods? Here are the answers to the most frequently asked questions. If you can’t find what you’re looking for, contact us!
All types of textual data are compatible with Proxem Studio: plain text, web pages, emails, PDF, Word documents, etc.
Depending on requirements, pre-processing integrated into Proxem Studio can be applied to the data, such as cleaning up HTML tags for pages or emails.
Three modes of data imports are possible:
- Import your data directly from the Connect Files module: import from Excel sheet or office document (pdf, word ...)
- Collection of web pages via the Connect Web module
- Import via our APIs from an existing IS
Proxem Studio is natively integrated with numerous market management feedback solutions such as Mediatech-cx, Satisfactory, Critizr, WizVille...
At this day, Proxem Studio is compatible with more than 27 languages including French, English, German, Spanish, Dutch, Italian, Portuguese, Russian, Chinese, Japanese, Hungarian...
Proxem Studio can integrate millions of verbatim without difficulty.
For the automatic suggestion algorithms based on machine learning to work perfectly, it is recommended to have at least 2,000 examples as input. However, Proxem Studio also works on low volumes thanks to our linguistic resources and the powerful semantic rule engine.
Proxem Studio integrates a web page collection module for uses such as market mapping or technology watch.
Proxem does not offer a social media collection solution, but it is possible to connect your favorite social-monitoring software with Proxem Studio to analyze verbatim from the social web. It is also possible to use the Google My Business APIs to integrate data from Google Avis. Proxem Studio is also natively connected to many feedback management solutions such as Critizr, Mediatech-CX, WizVille, Satisfactory…
Data security and confidentiality is a major concern at Proxem.
In general, we recommend not to integrate personal data in Proxem Studio: in most cases, we do not need to have information allowing to identify the editor of a verbatim or a document.
Proxem will advise you in setting up your project to protect personal data present in the SaaS platform as recommended by EU regulation n ° 2016/679 (known as "GDPR"), in particular via three areas of work:
The reliability of the analysis depends on several parameters, and the objective that we set. The two main measures that we will seek to optimize in semantic analysis are
1 / The reminder: does the system classify all the verbatims or all the documents? Are all opinions well categorized as positive, negative or neutral? In general, recall is very difficult to measure in absolute terms, since it would be necessary at the start of all the data classified by a human to know if the system "forgets" something. One way to resolve this difficulty is to approximate the coverage rate: how much of my documents are automatically classified? We can have 100% reminder by classifying all documents in all categories, but we cannot say that in this case the system is relevant... this is why we must combine the reminder with precision.
2 / Precision: when the system classify, does it do it correctly? Precision is generally measured by sampling: we export a subset of the results of the analysis which we submit to a human expert who will judge on each decision of the machine whether it is correct or not.
Depending on the needs of the project, one or other of the metrics will be favored.
The combination of recall and precision gives an overall analysis performance score: the F-measure, which is expressed as a percentage. In the best cases, we have obtained scores of up to 95% F-measure. But we must keep in mind that it remains dependent on the sources, the number of classes or concepts to be detected in the text, and... the budget.
The quality of our deliverables is our number 1 priority and Proxem Studio includes a measurement and monitoring module for the quality of semantic analysis to allow monitoring and continuous improvement throughout your projects.
The development of a classification plan is very variable depending on the projects, and is notably dependent on:
In general, the initial configuration is on average a few weeks which allows production to start in less than 3 months.
Proxem Studio is designed to process any type of corpus and format. Its unsupervised machine learning capacity allows it to be quickly effective for any type of industry.
Today, we process text data in all areas of activity: banking, insurance, mass distribution, e-commerce, energy, health, transport, telecommunications, human resources...
Yes and it is even generally the case!
Customers generally speak on many subjects, and it is essential to be able to capture all the substance.
Sure, and it even makes coffee 🙂
More seriously, irony or sarcasm is very difficult to detect in general: is a verbatim that says "bravo Macron" sarcastic or is it a congratulation?
Proxem Studio allows, in some cases, to understand the irony but on condition of having more information in general than the verbatim alone. Typically, in an NPS project where the score is 0 and the verbatim "thank you for the delay", the reason detected will be a criticism of the delay, the thank you being detected as an irony and not as a congratulation.
The classification plan is evolving in Proxem Studio: we support you on a daily basis to bring it to life according to your feedback, new themes that appear and new needs.
More generally, it is also common to have several filing plans according to the objectives of different departments in your organizations. In addition to the general verbatim classification plan, Proxem Studio also provides a complete thesaurus of the themes addressed, allowing information to be cross-referenced for a tailor-made study on any subject that would not be explained in the initial classification plan.
The Report module of Proxem Studio allows you to create your tables and data visualizations independently.
Thanks to the many fully configurable widgets, you can set up as many dashboards as you want and distribute them within your company with ease. All visualizations are also exportable for integration into your presentations, and you can generate PDF reports ready to share or receive by email.
Proxem Studio is developed mainly with Microsoft .NET technologies and is based on the ElasticSearch search engine.
Language processing algorithms are the fruit of Proxem R&D and are fully developed by Proxem
The Dialog module for deploying chatbots and email response assistants is partially based on the Microsoft Bot Framework.
Proxem Studio simultaneously exploits artificial intelligence by learning (ML) and expert systems thanks to its powerful semantic rules engine.
Proxem Studio thus integrates machine learning algorithms at different levels for automatic language processing, in particular machine learning for language models based on neural networks and distributional analysis models, unsupervised learning for the discovery of the themes addressed in a corpus (word-embedding and clustering) and supervised learning algorithms.
To find out more about our R&D: please click here.
Yes! For your projects, a project manager will accompany you throughout your use and handling of Proxem Studio.
To facilitate your handling, a customer success manager will also offer workshops and training regularly to support you in the deployment in your organization, the implementation of good practices and taking into account your software development needs.
For each project, we offer training in handling the software and the various modules.
We also offer "Power User" training to allow you to become completely autonomous in carrying out your semantic analysis projects.
Level 1 support is accessible via a unique email address, and is available during working days from 9 a.m. to 6.30 p.m.
Whatever your project, you benefit at least from a single point of contact as project manager and access to level 1 support.
Depending on your needs and the complexity of the project, additional support may be included, including:
Do not hesitate to contact us for any personalized quote!
The price of the subscription to Proxem Studio depends on different parameters:
1 / The overall volume of data to be processed per month / year
2 / The number of users of the platform according to the profiles: the power-users access all the functionalities, in particular the modules making it possible to configure the semantic analysis; analysts access the Explore and Report modules allowing them to conduct data analysis, create and disseminate dashboards etc. ; readers only access the Report module to consult the dashboards
3 / the number of languages available
4 / the level of support and training
For a personalized quote, contact us!
Proxem Studio collects, analyzes, and mines textual data for business.Discover the software
Chers clients, chers partenaires,
Pour des mesures évidentes de sécurité sanitaire, nos locaux sont temporairement fermés mais l’équipe Proxem reste mobilisée et joignable à distance.
Notre plateforme reste disponible à 100%.