English sentiment analysis

Fast, accurate Arabic sentiment analysis. No translations needed.

Repustate draws insights directly from any native Arabic text to give you in-depth, actionable data analysis with one click.

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German Sentiment Analysis

Repustate’s AI-driven German sentiment analysis automatically identifies any positive or negative sentiment in your text.

Sie gingen gestern Nacht in das neue Restaurant und liebten die Getränke, vor allem die Martinis, aber das Essen war schrecklich. Der gegrillte Fisch schmeckte wässrig und die Calamari war zäh.

Language: German

Entities: Restaurant, Essen, Trinken, Martinis, gegrillter Fisch, Calamari

Sentiment: Negative

Semantic Understanding In Native Language

And because it’s trained natively and doesn’t require translations, Repustate understands local sayings, idioms, and slang

Phrase/Idiom

Um den heißen Brei herumreden

Eine Extrawurst verlangen

Ich verstehe nur Bahnhof

Die Kirche im Dorf lassen

Einen Vogel haben

Meaning

Um den Busch schlagen

Eine besondere Behandlung verlangen

Schwer zu verstehen

Nicht weggetragen werden

Verrückt sein

Our native machine learning models combine all the factors of prior polarity, lemmatization, grammatical constructs with dialects, idioms, puns, emojis etc – without any translations

Topic & Aspect Based Sentiment Analysis

Repustate can even apply aspect-based sentiment analysis to your German text and create a richer and more in-depth analysis of your data.

Sie gingen gestern Nacht in das neue Restaurant und liebten die Getränke, vor allem die Martinis, aber das Essen war schrecklich. Der gegrillte Fisch schmeckte wässrig und die Calamari war zäh.

Aspect

Getränke

Essen

Topic

Martinis

gegrillter Fisch

Calamari

Sentiment

liebten

wässrig

zäh

Book a personalized 15-minute demo to learn more about Repustate's German sentiment analysis

German Sentiment Analysis Dashboard

Repustate IQ: The only Arabic sentiment analysis dashboard you’ll need

No translations: all analysis done natively in Arabic
No coding required: easy one-click upload of Arabic spreadsheets
Save time: accurate Arabic sentiment analysis available instantly
Actionable insights: automatic reporting with beautiful graphs and charts

German Data Collection

Repustate can find the German text most relevant to you no matter where it is on the public internet . Repustate can even extract valuable semantic insights from German videos on sites like YouTube and TikTok. Have your own German data? No problem – simply upload your data to Repustate and let our German text analytics pipeline do the rest.

Take a quick tour of Repustate’s German text analytics solution

Read more about Repustate’s German sentiment mining solution

Table of Contents:

What are the benefits of Repustate's German NLP solution?

The Repustate German Sentiment Analysis solution is made specifically for German data. Listed below are the main advantages of the Repustate’s German Sentiment Analysis solution:

Understand your German-speaking customers
It is highly customizable and can be calibrated to be an exact fit for your business.
Visualize all the insights in a sentiment analysis dashboard
Obtain granular German emotion analysis by aspect

Data security with on-premise deployment or through Cloud
Custom-made model specific to your brand, domain, and industry lingo
Multilingual semantic analysis capability to help you scale globally fast

Why Choose Repustate Over Others?

Repustate is the preferred German sentiment analysis company because our sentiment analyzer model has the highest accuracy in NER compared to other tools. It is not an off-the-shelf product, but a highly personalized, scalable solution with dedicated customer support. Here is why our clients in the Middle East and the German-speaking world collaborate with us.

Premium Support: As our client, you will have a dedicated engineer assigned to your account.
Technology: We apply artificial intelligence and machine learning to German natural language processing for the best opinion analysis results.
German Text: We never translate. Repustate has unique German part-of-speech taggers and sentiment models made just for German text analysis. In fact, each of our 23 languages has an ML model based on the natural language natively.
Accuracy: Our aspect-driven approach to sentiment is granular, accurate, and targeted.
Speed: Our API can process 1,000 comments per second.
Customizable: We custom-build the model to capture your most important aspects and topics.
Scale: Our API can easily scale from 1 to 10 million to 100 million documents and beyond.
Integration: The Repustate solution integrates seamlessly with your existing technology. You do not need 3rd party support for any underlying technology.
Competition: Our model is the most accurate in NER compared to the competition that includes Google, Amazon, and Microsoft. Check out our comparison.
Deployment Flexibility: We offer both, a Cloud model, and an on-premise installation for data security, in a one-click solution.
No Hidden Fees: Our pricing includes support, updates, training, and deployment.
Iterative: Our models get more and more intelligent with training and as they process more data.

German Language Sentiment Models

Repustate has developed sentiment language models specific to German to capture the various phrases, idioms, and expressions that help define certain sentiments. It turns unstructured German data into business intelligence you can use to increase your value proposition, brand experience, and value delivery.

Interested in learning more about Repustate’s German sentiment analysis?

What are the Steps in German Sentiment Analysis?

We collate a massive corpus of German text, which is manually tagged and processed by an ML model for high precision in aggregate sentiment scoring. The steps can be defined as follow:

Step 1:

Collect a massive, highly varied corpus (collection of texts) of the manually tagged German text.

Step 2:

Create an German part-of-speech tagger.

Step 3:

Build lemmatization i.e. apply rules of conjugating nouns and verbs based on gender and tense.

Step 4:

Build prior polarity to determine the positive and negative context of a word.

Step 5:

Determine grammatical constructs to define negations and amplifiers.

Step 6:

Feed sentiment scores to train the model.

Repustate uses German Named Entity Recognition (NER) to identify brand and business entities in data. No matter how misspelled a word is, our German NLP model will reproduce the name in the native script and give accurate name search, transliteration, and identity verification measures. This gives high-accuracy ranked results, based on the linguistic, phonetic, and specific cultural variation patterns of the names.

Why should we never use translations for Arabic Sentiment Analysis?

Translations yield incorrect results to a very high degree since they dilute the nuance of the word in the original language. Different languages have different grammatical constructs for negations, amplifiers, and root words. If a text has multiple topics and sentiments (as reviews and comments usually do) this difference in language rules renders the aggregate sentiment score of the data wrong. Therefore, translations can lead to incorrect insights that can be detrimental to a company’s return on investment and business.

As your German sentiment analysis company, Repustate never translates your data. We use our own painstakingly collated, highly precise, individually developed German part-of-speech tagger and lemmatizers. This is what ensures you the highest possible accuracy of sentiment scores from your data, so you can get the right insights.

Repustate has helped banks, governments and hotels extract business insights from their German customer data. We can help you, too.

Applications of German NLP in Sentiment Analysis Tools

Analyze Twitter, Facebook, Insta, TikTok, & YouTube content:

Repustate’s German sentiment analysis API helps you get useful insights through Social media listening from Facebook, Twitter, Insta, and even video-based platforms like TikTok and YouTube. This is very useful to brands who want to capture sentiments around specific facets of their business, product line, or service.

Analyze surveys, forums, and Google reviews:

Companies dedicate a large number of resources to understanding their customers by running feedback campaigns in their stores, social forums, mobile apps, and websites. Repustate’s German Voice of Customer analysis helps you make sense of all that data.

Analyze news - text, audio & video:

Emotion analysis from news streams is really easy with an German sentiment analysis company like Repustate. Whether you want an German NLP solution for employee surveys or product reviews, our tool gives you relevant insights. Furthermore, its visualization dashboard converts the data into charts, graphs, and tables, so you can understand the data easily.

Understand public sentiment:

From policy decisions to bad customer service, whatever the issue may be, people share this information with the world. This data can be vital to a government body, or a company looking to improve its brand perception and market share.

Applications of German Text Sentiment Analysis

Repustates’s German sentiment analysis API is made for the German language and its dialects. Powered by German NLP, the solution gives you accurate and fast insights through Voice of Customer analysis of your data. Here are some real-world examples of how Repustate has helped organizations across industries in analyzing sentiment in German.

German Enterprise Search

Repustate’s Enterprise Search automatically annotates your German data with semantic information, supported by the German part-of-speech tagger and German NLP tasks. This includes relevant entities, topics, and entity-specific metadata. You can search all metadata associated with any given entity that Repustate finds, including market cap or industry type for business, or by nationality. Over 100 metadata properties can be searched, and all of them can be automatically determined by Repustate’s German Enterprise Search