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Repustate’s AI-driven Indonesian sentiment analysis automatically identifies any positive or negative sentiment in your text.
Entities: Restoran, makanan, minuman, Martini, ikan bakar, cumi-cumi
And because it’s trained natively and doesn’t require translations, Repustate understands local sayings, idioms, and slang
|Orang sabar disayang Tuhan||hal yang baik akan datang pada mereka yang menunggu|
|Anak emas||Anak yang difavoritkan|
|Dari mulut ke mulut||Perkataan mulut ke mulut|
|Makan asam garam||Terus bersama-sama dalam segala situasi|
|Tertangkap basah||Tertangkap ketika tengah melakukan sesuatu yang salah|
Repustate can even apply aspect-based sentiment analysis to your Indonesian text and create a richer and more in-depth analysis of your data.
Repustate can find the Indonesian text most relevant to you no matter where it is on the public internet . Repustate can even extract valuable semantic insights from Indonesian videos on sites like YouTube and TikTok. Have your own Indonesian data? No problem - simply upload your data to Repustate and let our Indonesian text analytics pipeline do the rest.
Read more about Repustate’s Indonesian sentiment mining solution
Table of Contents:
The Repustate Indonesian Sentiment Analysis solution is made specifically for Indonesian data. Listed below are the main advantages of the Repustate's Indonesian Sentiment Analysis solution:
Repustate is the preferred Indonesian 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 Indonesian-speaking world collaborate with us.
Repustate has developed sentiment language models specific to Indonesian to capture the various phrases, idioms, and expressions that help define certain sentiments. It turns unstructured Indonesian data into business intelligence you can use to increase your value proposition, brand experience, and value delivery.
We collate a massive corpus of Indonesian 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:
Collect a massive, highly varied corpus (collection of texts) of the manually tagged Indonesian text.
Create an Indonesian part-of-speech tagger.
Build lemmatization i.e. apply rules of conjugating nouns and verbs based on gender and tense.
Build prior polarity to determine the positive and negative context of a word.
Determine grammatical constructs to define negations and amplifiers.
Feed sentiment scores to train the model.
Repustate uses Indonesian Named Entity Recognition (NER) to identify brand and business entities in data. No matter how misspelled a word is, our Indonesian 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.
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 Indonesian sentiment analysis company, Repustate never translates your data. We use our own painstakingly collated, highly precise, individually developed Indonesian 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's Indonesian 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.
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 Indonesian Voice of Customer analysis helps you make sense of all that data.
Emotion analysis from news streams is really easy with an Indonesian sentiment analysis company like Repustate. Whether you want an Indonesian 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.
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.
Repustates's Indonesian sentiment analysis API is made for the Indonesian language and its dialects. Powered by Indonesian 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 Indonesian.
A Java-based healthcare corporation wants to understand the doctor-patient relationship to make the whole system more sensitive towards healthcare, Repustate's Indonesian 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 Java-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.
A Dubai-based financial corporation realizes they can be in trouble 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 that it is missing out on vital information in an industry that thrives on quick decision-making. 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. As a holistic Indonesian sentiment analysis company, Repustate gives them insights into market sentiment based on price movements of securities traded, as well as financial news coverage in all major languages. The company can also leverage real-time updates from the visualization dashboard that shows market sentiment scores and share prices for different debt instruments and equities.
A public transport agency from Egypt wants to improve its service and brand perception and approaches 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 sentiment analyzer helps them understand their data. By applying Indonesian natural language processing techniques to all the reviews and comments gathered from public forums, Repustate's solution gives them useful insights they can use to achieve their goals.
Repustate's Enterprise Search automatically annotates your Indonesian data with
information, supported by the Indonesian part-of-speech tagger and Indonesian NLP
includes relevant entities, topics, and entity-specific metadata. You can search all
metadata associated with any given entity that Repustate finds, including market cap
industry type for business, or by nationality. Over 100 metadata properties can be
and all of them can be automatically determined by Repustate's Indonesian Enterprise
Learn more about Indonesian Enterprise Search