Category Archives: Webinars

Posts about MeaningCloud’s webinars.

Classification, topic extraction, clustering… When to use the different Text Analytics tools? (webinar)

How to leverage Text Analytics technology for your business

Text AnalyticsMost valuable information for organizations is hidden in unstructured texts (documents, contact center interactions, social conversations, etc.). Text Analytics helps us to structure such data and turn it into useful information. But which text analytical tools are the most appropriate for each case? When should I use information extraction, categorization, or clustering? Which applications can benefit most from Text Analytics? What are the challenges?

Register for this MeaningCloud webinar on Wednesday, February 8th at 9:00 PDT and discover answers to these and other questions through practical examples.

UPDATE: this webinar has already taken place. See the recording here.

(Este webinar también se realizó en español, ver la grabación aquí.)

Learn to develop custom text classifiers (recorded webinar)

Last October 5th we presented our webinar “Learn to develop custom text classifiers with MeaningCloud”. Thank you all for your attendance.

We began by presenting how to do text classification with MeaningCloud and why it is necessary to develop models that are adapted to each specific application scenario. The bulk of the presentation consisted in using a practical case (analysis of restaurant reviews) to show how these models can be developed using our product.

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Learn to develop custom text classifiers with MeaningCloud (webinar)

Learn in this webinar how to use MeaningCloud’s tools to create classification models completely adapted to your scenario

Users frequently ask us through our support line how to perform text classification according to application-specific taxonomies. For example, somebody needing to analyzing a bank’s contact center calls and open survey responses might be interested in classifying such messages according to the institution’s different types of products and services (deposits, loans, mortgages, etc.) or the type of interaction (request for information, contracting, complaint, etc.).

Custom classification

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A tailored sentiment analysis (recorded webinar)

Last May 4th we presented our webinar “An entirely tailored sentiment analysis using MeaningCloud”. Thank you all for your attendance.

After a brief introduction to MeaningCloud and the operation of its add-in for Excel, we developed a practical example of sentiment analysis in a specific domain (restaurant reviews) and showed how MeaningCloud’s customization tools can be used to improve the accuracy of the analysis:

  • By including attributes that are relevant to the domain and focusing the analysis around them, through the creation of personal dictionaries of entities and concepts.
  • By specifying the polarity of expressions in the domain depending on the context, thanks to the definition of personal sentiment models.

Together, these tools enable our users to be greatly autonomous in the customization of MeaningCloud and put the highest-quality sentiment analysis at everybody’s fingertips.

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A sentiment analysis entirely tailored to your needs with our new customization tool

The adaptation to the domain is what makes the difference between a good sentiment analysis and an exceptional one. Until now, the possibilities of adapting MeaningCloud’s sentiment analysis to your domain relied on the use of personal dictionaries – to create new entities and concepts that the Sentiment Analysis API employed to carry out its aspect-based analysis – or you had to ask our Professional Services Department to develop a tailor-made sentiment model.

Sentiment Models buttonWith the release of Sentiment Analysis 2.1, we incorporated a new customization tool designed to facilitate the creation of personal sentiment models. This tool fully employs our Natural Language Processing technology to enable you to be autonomous and develop —without programming— powerful sentiment analysis engines tailored to your needs.

Other tools for customizing sentiment analysis available on the market, mostly permit to define “bags of words” with either positive or negative polarity. Our tools go far beyond and enable you to:

  • Define the role of a word as a polarity vector (container, negator, modifier), allowing to use lemmas to easily incorporate all the possible variants of each word
  • Specify particular cases of a word’s polarity, depending on the context in which it appears or its morphosyntactic function in each case
  • Define multiword expressions as priority elements in the evaluation of polarity
  • Manage how these custom polarity models complement or replace the general dictionaries of every language.

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Improve your Customer Experience Management with Text Analytics (recorded webinar)

Last June 10th we presented our webinar “Discover the WHY behind your Customer Scores – Improve your Customer Experience Management with Text Analytics”, featuring industry expert Seth Grimes.

The goal of the webinar was to ensure you are getting the most from your Customer Experience / Voice of the Customer initiatives, using text analytics to understand massive amounts of unsolicited, unstructured customer feedback in real time.

User Profiling and Segmentation

The agenda, with contributions from Seth and members of the MeaningCloud team, was:

  • Text analytics in Customer Experience (CX) management. Why is it important?
  • How text analytics complements/amplifies “traditional” CX? What specific benefits does it bring: understanding the reason behind the scores, extending to new, untapped feedback sources, analyzing CX in big data contexts … What new applications does it enable?
  • What text analytics techniques are applicable: text classification, information extraction, sentiment analysis, user profiling…
  • Analysis of some real scenarios/projects: survey analysis, contact center interaction, market research, social media analysis.
  • How to implement this easily with MeaningCloud: APIs, personalization tools, add-in for Excel.

For those of you interested, below you can find the webinar’s slides and recording.

And, if you want to give MeaningCloud a try and see how it can take your customer feedback analysis to the next level, register and use it for free here.

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Discover the WHY behind your Customer Scores – A webinar with Seth Grimes

Seth GrimesOn Wednesday June 10th, MeaningCloud will welcome special guest and text analytics thought leader Seth Grimes for a 1-hour webinar on ensuring you are getting the most from your customer feedback.

Seth will explain the importance of text analytics in new Customer Experience / Voice of the Customer scenarios, enabling you to understand massive amounts of unsolicited, unstructured feedback coming form surveys, customer center interactions and social media… in real time.

And the MeaningCloud Team will show how you can efficiently put these ideas into practice using our easy-to-use, customizable and affordable Meaning-as-a-Service tools.

Whether you are in the market research or customer experience management business or you are an end customer willing to take your customer insights to the next level, this webinar is for you.

We hope you will join us for this special event.

Improve Customer Experience Management with Text Analytics

Discover the WHY behind your Customer Scores – A webinar with Seth Grimes

Wednesday, June 10th, 2015; 8am PST/11am EST

UPDATE: this webinar has already passed. See the documentation and recording here.

Distill customer insights from interactions with clients

For companies, it is vital to understand the feedback that their customers -current and potential- express through all types of channels and contact points. That is why brands are extending their
Voice of the Customer (VoC)
initiatives to a new territory of unsolicited and unstructured content: comments on surveys, call center verbatims, Twitter… Only automatic processing enables to perform this analysis with the the necessary characteristics of quality, volume, response time and homogeneity.


Customize your text analytics tools (recorded webinar)

Last May 14th we presented our “Boost your text analytics accuracy” webinar.

We discussed why we need to customize text analytics processes -by including domain-based information- to improve the accuracy (precision, recall) of these tools. And we did a walk-through of MeaningCloud’s features to customize several of its functions:

  • Text classification
  • Information extraction
  • Sentiment analysis.

These customization tools feature graphical user interfaces and are very easy to use, thus empowering the users to adapt the system to their applicactions and putting high-quality text analytics at everybody’s fingertips. We are confident that these features, together, are unique in the industry and put MeaningCloud ahead of the competitors’ offerings.

For those of you interested, below you can find the webinar’s slides and recording.

(También presentamos este webinar en español. Tenéis la grabación aquí.)

MeaningCloud Webinar – Better Text Analytics Using Customization Tools from MeaningCloud on Vimeo.

Boost your text analytics accuracy with our customization tools (webinar)

Text analytics tools are extraordinarily valuable for extracting meaning from unstructured content, but the use of generic linguistic resources limits their accuracy. For instance, an automatic system will never identify a company’s products if these haven’t previously input into the tool’s dictionaries.

Text Analytics CustomizationThe inclusion of application-specific linguistic resources (dictionaries, models) allows these tools to reach high levels of precision and recall, but, in general, this is an expensive process that requires a deep proficiency in these technologies.

At MeaningCloud we aim at democratizing semantic analysis, putting it at every user’s and developer’s fingertips. This is why MeaningCloud features Customizer, a personalization engine based on graphical tools that enable users to create their own classification models and dictionaries in a simple, interactive way. Therefore, anybody needing, for example, to analyze comments about hotels in London can include the establishments, attributes and vocabulary used in this context.

Register for this free MeaningCloud webinar and discover in a practical way how Customizer tool empowers you to perform domain-oriented text analytics with total autonomy, flexibility and maximum accuracy.

UPDATE: this webinar has already passed. See the documentation and recording here: