Repustate's sentiment analysis API is powered by Vietnamese natural language processing (NLP). It analyzes Vietnamese data natively, without the need to translate any document into English, thus, giving more accurate and meticulously useful insights.
Repustate's Vietnamese sentiment analysis solution is made dedicatedly for the Vietnamese-speaking world. The tool can be used to analyze data from any Vietnamese source such as news, social media, blogs, reviews, and surveys.
The solution has its own dedicated Vietnamese part-of-speech tagger, Vietnamese lemmatizer, and Vietnamese-specific sentiment models. It also understands colloquial words and industry jargon. Vietnamese 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 Vietnamese sentiment analysis in action
What are the benefits of Repustate's Vietnamese Sentiment Analytics Tool?
The Repustate Vietnamese Sentiment Analysis solution is made specifically for Vietnamese data. It is highly
customizable and can be calibrated to be an exact fit for your business. Listed below are the main advantages of the tool:
Obtain granular Vietnamese 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.
Premium Support: As our client, you will have a dedicated engineer assigned to your account.
Technology: We apply artificial intelligence and machine learning to Vietnamese natural language processing for the best results.
Vietnamese Text: We never translate. Repustate has unique speech taggers and sentiment models made just for Vietnamese 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.
Vietnamese Language Sentiment Models
Repustate has developed sentiment language models specific to Vietnamese
to capture the various phrases, idioms, and expressions that help define certain sentiments. It turns unstructured
Vietnamese data into business intelligence you can use to increase your value proposition, brand experience, and value delivery.
Take a quick tour of Repustate's Vietnamese text analytics solution
What are the Basic Steps in Vietnamese Sentiment Analysis?
Repustate has a massive corpus of Vietnamese text that has been tagged manually,
as the first step towards Vietnamese 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:
Collect a massive, highly varied corpus (collection of texts) of the manually tagged Vietnamese text.
Feed this text into an ML-based algorithm to create an Vietnamese part-of-speech tagger.
Granulate the algorithm for deeper accuracy using NER.
Extract the sentiment score for each aspect, theme, and topic.
Repustate uses Vietnamese Named Entity Recognition (NER) with
advanced semantic search to identify brand and business entities in data. No matter how misspelled a word is,
the Vietnamese 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 Vietnamese sentiment analysis?
Trying to achieve Vietnamese sentiment analysis by using an API that uses translations can
yield incorrect results. So, the answer is, no. As your Vietnamese sentiment analysis company,
Repustate, uses intricate Vietnamese 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 Vietnamese NLP in Sentiment Analysis Tools
Repustate's Vietnamese 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 Vietnamese 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 Vietnamese 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
Let Repustate's Vietnamese sentiment analysis uncover your hidden insights
Real-World Applications of Vietnamese Text Sentiment Analysis
Repustates's Vietnamese sentiment analysis API is made for the Vietnamese language and its dialects.
Powered by Vietnamese 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 Vietnamese
sentiment analysis to organizations in various industries.
When the prestigious
Nahdi Medical Company,
based in Saudi Arabia, approached Repustate, its biggest motivation was the need to understand
patients better. They wanted to overhaul the system and deliver a better patient experience.
They remained dissatisfied with the speed and accuracy of other tools in the market as they
could not grasp the complexity of Vietnamese. Repustate's sentiment analysis API was at last
able to help the client meet its objectives. Our Vietnamese NLP-powered solution gathered
impactful insights more accurately and faster than others. It semantically identified various
aspects related to patient care and provided the client with key revelations.
A Ho Chi Minh City-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 Vietnamese sentiment analysis tool provides them with a highly-precise,
customized, stock sentiment analysis solution powered by Vietnamese 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.
A public transport agency from Halong Bay 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 Vietnamese sentiment analysis API helps them understand their data. By applying
Vietnamese 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.
Vietnamese Enterprise Search
Repustate's Enterprise Search automatically annotates
your Vietnamese 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 Vietnamese Enterprise Search.
Không phải tất cả các ngôn ngữ đều giống nhau
Các ngôn ngữ khác nhau có quy tắc ngữ pháp khác nhau. Các quy tắc chia động từ, thống nhất giữa danh từ và động từ, và thể phủ định thay đổi tùy theo từng ngôn ngữ.
TIẾNG VIỆT là một ngôn ngữ độc đáo và có nhiều điểm khác biệt với tiếng Anh. Việc sử dụng các kỹ thuật và mô hình ngôn ngữ tương tự như trong phân tích tâm lý tiếng Anh khi tiến hành phân tích tâm lý TIẾNG VIỆT sẽ mang lại các kết quả vô cùng thiếu chính xác.
Chính vì vậy, Repustate đã phát triển các công cụ dành riêng cho TIẾNG VIỆT để hỗ trợ phân tích tâm lý TIẾNG VIỆT, bao gồm một bộ gán nhãn từ loại TIẾNG VIỆT, trình khôi phục thể nguyên dạng của từ TIẾNG VIỆT, và tất nhiên là cả các mô hình tâm lý riêng cho TIẾNG VIỆT.
Gán nhãn từ loại TIẾNG VIỆT
Gán nhãn từ loại TIẾNG VIỆT cho phép Repustate thu hẹp phạm vi cảm xúc có thể nằm trong một khối văn bản. Động từ, danh từ và tính từ, cung cấp các tín hiệu cần thiết để xác định cảm xúc.
Để tạo ra một bộ gán nhãn từ loại TIẾNG VIỆT nhanh chóng và chính xác, bạn phải có một kho ngữ liệu văn bản TIẾNG VIỆT đồ sộ được gán nhãn thủ công. Sau đó văn bản TIẾNG VIỆT này có thể được nạp vào một thuật toán máy học để tạo ra một bộ gán nhãn từ loại TIẾNG VIỆT.
Kho ngữ liệu càng lớn, và quan trọng hơn, kho ngữ liệu càng đa dạng thì kết quả trong việc tạo ra bộ gán nhãn từ loại TIẾNG VIỆT càng tốt. Repustate đã tạo ra một kho ngữ liệu văn bản TIẾNG VIỆT đồ sộ dựa vào việc thu thập dữ liệu từ nhiều nguồn khác nhau để đảm bảo độ bao quát tốt.
Các mô hình tâm lý TIẾNG VIỆT
Repustate đã phát triển các mô hình ngôn ngữ tâm lý riêng cho TIẾNG VIỆT để nắm bắt được nhiều cụm từ, thành ngữ và cách diễn đạt giúp định nghĩa cảm xúc khi viết bằng TIẾNG VIỆT. Nhờ thấu hiểu các khía cạnh ngữ pháp khác nhau của TIẾNG VIỆT, chính là yếu tố tạo nên sự độc đáo và khác biệt so với tiếng Anh, nên việc phân tích tâm lý TIẾNG VIỆT của Repustate được thực hiện nhanh chóng và chính xác nhất có thể.