Fast, accurate Chinese sentiment analysis. No translations needed.

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Your Chinese Sentiment Analysis Company

Repustate's sentiment analysis API is powered by Chinese natural language processing (NLP). It analyzes Chinese data natively, without the need to translate any document into English, thus, giving more accurate and meticulously useful insights.

Table of Contents:

  1. Chinese Sentiment Analysis API
  2. Benefits of Repustate's Chinese Sentiment Analytics
  3. Why Choose Repustate Over Others?
  4. Basic Steps in Chinese Sentiment Analysis
  5. Applications of Sentiment Analysis Tools
  6. Real-World Chinese Sentiment Analysis Examples
  7. Chinese Enterprise Search

Chinese Sentiment Analysis API

Repustate's Chinese sentiment analysis solution is made dedicatedly for the Chinese-speaking world. The tool can be used to analyze data from any Chinese source such as news, social media, blogs, reviews, and surveys.

The solution has its own dedicated Chinese part-of-speech tagger, Chinese lemmatizer, and Chinese-specific sentiment models. It also understands colloquial words and industry jargon. Chinese natural language processing, coupled with named entity recognition (NER), helps it identify topics and themes in the data for more granular sentiment analysis, leading to key business insights.

See Repustate's Chinese sentiment analysis in action

What are the benefits of Repustate's Chinese Sentiment Analytics Tool?

The Repustate Chinese Sentiment Analysis solution is made specifically for Chinese customizable and can be calibrated to be an exact fit for your business. Listed below are the main advantages of the tool:

  • Understand your Chinese speaking customers
  • Visualize all the insights in a customer insights dashboard
  • Obtain granular Chinese sentiment analysis by aspect
  • Data security with on-premise deployment or through Cloud
  • Custom-made model that can be specific to your brand and industry domain
  • Multilingual sentiment analysis capability to help you scale globally fast

Why Choose Repustate Over Others?

The Repustate 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 worldwide (NA, EMEA and Asia Pacific) collaborate with us.

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

Chinese Language Sentiment Models

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

Take a quick tour of Repustate's Chinese text analytics solution

What are the Basic Steps in Chinese Sentiment Analysis?

Repustate has a massive corpus of Chinese text that has been tagged manually, as the first step towards Chinese sentiment analysis. This corpus is then processed by an ML model for high precision in aggregate sentiment scoring. The steps can be laid out as:

  1. Collect a massive, highly varied corpus (collection of texts) of the manually tagged Chinese text.
  2. Feed this text into an ML-based algorithm to create an Chinese part-of-speech tagger.
  3. Granulate the algorithm for deeper accuracy using NER.
  4. Extract the sentiment score for each aspect, theme, and topic.

Repustate uses Chinese Named Entity Recognition (NER) with advanced semantic search to identify brand and business entities in data. No matter how misspelled a word is, the Chinese 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.

Should translations be used for Chinese sentiment analysis?

Trying to achieve Chinese sentiment analysis by using an API that uses translations can yield incorrect results. So, the answer is, no. As your Chinese sentiment analysis company, Repustate, uses intricate Chinese NLP for higher accuracy in sentiment scoring of your data. This is because translations dilute the nuance of a statement. If a text has multiple topics, sentiments, and themes, as reviews and comments usually do, the aggregate semantic score of the data (+1 for positive, and -1 for negative) will be inaccurate with translations.

Applications of Chinese NLP in Sentiment Analysis Tools

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

Repustate's Chinese sentiment analysis API helps you get useful insights through Social media listening from Facebook, Twitter, Instagram, 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 news - text, audio & video:

Sentiment analysis from news streams is really easy with Repustate's Sentiment Analysis API. Whether you want Chinese NLP analysis 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.

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 Chinese Voice of Customer analysis helps you make sense of all that data.

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.

Let Repustate's Chinese sentiment analysis uncover your hidden insights

Real-World Applications of Chinese Text Sentiment Analysis

Repustates's Chinese sentiment analysis API is made for the Chinese language and its dialects. Powered by Chinese NLP, the solution gives you accurate and fast insights through aspect based sentiment analysis of your data. Here are some real-world examples of how Repustate has provided Chinese sentiment analysis to organizations in various industries.

Healthcare Sector:

A Shanghai-based healthcare corporation wants to understand the doctor-patient relationship to make the whole system more sensitive towards healthcare, Repustate's Chinese sentiment analysis API can enable them to semantically identify various aspects related to doctor-patient interaction and sentiment related to those aspects. With Repustate, this Shanghai-based healthcare system can unlock the advanced applications of NLP in Healthcare and have the answers they've been searching for in half the time it would have taken before.

Financial Sector:

A Hong Kong-based financial corporation realizes that it's not good for business if they are unable to monitor global financial and stock market news accurately and fast. Since even names of companies change when the news is in a foreign language, the company realizes it is missing out on vital information in an industry that thrives on quick decision-making. Repustate's Chinese sentiment analysis tool provides them with a highly-precise, customized, stock sentiment analysis solution powered by Chinese NLP. Our sentiment analysis solution gives them insights into market sentiment based on price movements of securities traded, as well as financial news coverage in all major languages. They also leverage the real-time dashboard that shows market sentiment scores and share prices for different debt instruments and equities in an easy-to-understand format.

Government Sector:

A public transport agency from Beijing wants to improve its service and brand perception and approach Repustate with the problem. They want to provide better service by addressing negative feedback and restructuring resources. They want to have an authentic and detailed understanding of the sentiment of daily commuters using public modes of transport. Repustate's Chinese sentiment analysis API helps them understand their data. By applying Chinese natural language processing techniques to all the reviews and comments gathered from public forums, Repustate's solution is able to give them useful insights they can use to achieve their goals.

Repustate's Enterprise Search automatically annotates your Chinese data with semantic information. This includes relevant entities, topics, and entity-specific metadata. You can search all metadata associated with any given entity that Repustate finds by market cap or industry type for business, or perform your search by nationality. Over 100 metadata properties can be searched, and all of them can be automatically determined by Repustate's Chinese Enterprise Search.



中文 是一门独特的语言,并从几个方面与英语不同。在实行 中文 情感分析时,如果使用的是用于英语情感分析的技术和语言模型,则将产生极不准确的结果。

因此,Repustate开发了 中文 专用工具来帮助 中文 情感分析,其中包括 中文词类标签器、中文 词性归并器以及必不可少的 中文 专用情感模型。

中文 词类标签

中文 词类标签让Repustate缩小情感在一段文字中的可能所在位置。动词、名词和形容词为确认情感提供必要的线索。

为了创建一个快速准确的 中文 词类标签器,你必须拥有一个手动标记文字的大型文集。这些 中文 文字会被传送给一个机器学习算法以创建 中文 词类标签。

文集越大、越多样,创建 中文 词类标签器的结果就越好。Repustate通过从多个来源汲取数据来创建大型的 中文 文集,以此确保良好的涵盖范围。

中文 情感模型

Repustate开发了 中文 专用的情感语言模型以捕捉各种在中文里帮助定义情感的短语、成语和词句。Repustate理解赋予 中文 独特性并使其与英语截然不同的各个语法,因此Repustate的 中文 情感分析非常快速而且准确。