computer science

MeaningCloud

MeaningCloud is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand MeaningCloud rather than just read about it. In short: MeaningCloud is a Software as a Service product that enables users to embed text analytics and semantic processing in any application or system. It was previously branded as Textalytics.

Key takeaways

MeaningCloud belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect MeaningCloud to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of MeaningCloud from memory before moving on to harder problems.

Reference excerpt

MeaningCloud is a Software as a Service product that enables users to embed text analytics and semantic processing in any application or system. It was previously branded as Textalytics. MeaningCloud extends the concept of semantic API with a cloud-based framework that makes the integration of semantic processing into any system something close to a plug-and-play experience. MeaningCloud is available both in SaaS mode and on-premises.

History MeaningCloud is a brand by MeaningCloud LLC, a wholly owned subsidiary of MeaningCloud Europe S.L., previously known as Daedalus. Daedalus was founded in 1998 by Jose C Gonzalez and other colleagues as a spin-off from their Artificial Intelligence research lab at the Technical University of Madrid. In June of 2022, Reddit acquired MeaningCloud for an undisclosed sum.

Functionality Topic Extraction: identifies appearances of named entities and abstract concepts in the text. Text Classification: assigns a text to one or several categories in a predefined taxonomy. Sentiment Analysis: assigns a polarity (positive, negative, neutral) to a document or to the individual topics or attributes appearing in a document (aspect-based sentiment). Text Clustering: discovers the underlying themes in a document collection and groups these documents according to their similarities and their adherence to those themes.

Integration and customization Advanced APIs provide a functionality optimized for diverse applications and ease of use. In addition, customization and integration capabilities offer a fast learning curve and a short time to obtain results.

Customized resource management tools allow users to easily incorporate their own semantic resources (dictionaries, taxonomies, sentiment models) to adapt the operation of the system to their needs. SDKs and plug-ins increase the convenience and integrability of the APIs in the most common environments and platforms. MeaningCloud provides SDKs for Java, Python, PHP, and Visual Basic, and plug-ins for Microsoft Excel and GATE.

Research Applications Meaningcloud has been applied to compare French and English Tweets sentiment.

See also Software as a service Natural language processing Computational linguistics Text mining Media monitoring Social media measurement Semantic publishing Semantic technology

References

External links MeaningCloud website

Worked examples

Example 1 — a first encounter with MeaningCloud

Start with the simplest possible case. Write down what MeaningCloud claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to MeaningCloud before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about MeaningCloud ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of MeaningCloud

In research: MeaningCloud appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses MeaningCloud in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: MeaningCloud is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational linguistics, Internet properties established in 2015, Natural language processing, so understanding it makes those chapters shorter.
In everyday life: Look for MeaningCloud outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “MeaningCloud” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study MeaningCloud in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what MeaningCloud means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain MeaningCloud out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is MeaningCloud in simple terms?

MeaningCloud is a Software as a Service product that enables users to embed text analytics and semantic processing in any application or system. It was previously branded as Textalytics.

Why does MeaningCloud matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study MeaningCloud?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on MeaningCloud.