Zoling – The way the sentiment analysis works is the main key in penetrating the digital world full of opinions, comments, and reviews that are spread on various platforms.
How could a brand understand what the consumers really feel? The answer lies in sentiment analysisor in Indonesian terms, sentiment analysis An artificial intelligence -based technology that allows machines to read human emotions from text.
One of the pioneers of the application of sentiment analysis in Indonesia is Indonesian nolimiteMedia monitoring and big data companies that have analyzed millions of digital data for more than a decade.
But actually, how does sentiment analysis work? What are the stages, and why is he now a crucial tool in the world of marketing and reputation management?
What is Sentiment Analysis? Peek at the emotional window behind the text data
Sentiment analysis is technique Natural language processing (NLP) in charge of classifying one’s opinion or emotions based on the text whether positive, negative, or neutral.
With this technology, the brand not only knows what consumers say, but also how they feel about products, services, or even certain issues.
In Nolimit Indonesia, this technology is applied to monitor digital conversations from social media, online media, online forums, to comments e-commerce Everything is processed to provide insight real time for clients.
Why is Sentiment Analysis important for brands?
Some reasons for the importance of sentiment analysis in the real world, including on the platform Zoling:
- Measuring Brand reputation: Is your brand being loved by the public or even discussed negatively?
- Identifying the crisis early on: The automatic detection system can remind if there is a surge in negative conversations.
- Improve customer service: Negative responses can be responded immediately before viral.
- Predict the success of the campaign: Public sentiment for new products can be an indicator of the success of marketing strategies.
How Sentiment Analysis works: complete stages
In order to accurate public opinion, sentiment analysis must go through a number of technical processes. The following are the general stages used by NOLIME:
1. Data collection
Data are collected from various sources, ranging from X/Twitter, Instagram, Tiktok, to online media and forums. Zoling utilise crawler and fire to retrieve this data real time.
Propracessing text
Before being analyzed, the text must be cleaned, because raw data usually contains a lot noise.
- Delete url, emojis, and punctuation
- Normalize the word slang (example: “gk” → “no”)
- Lembatasi word to basic form (for example: “buy” → “buy”)
Tokenisasi
The sentence is broken down into a token (word/phrase). For example:
“Slow and disrespectful service” → [“pelayanan”, “lambat”, “dan”, “tidak”, “sopan”]
Sentiment analysis
There are three main approaches:
- Lexicon -Based: Using positive and negative word dictionaries
- Machine learning: Use labeled data to practice models
- In -depth learning / AI: Able to understand complex contexts (NoMimit using the Indonesian AI model)
Sentiment classification
The text is classified into positive, negative, neutralOr even advanced levels such as “very positive” and “sarcastic” – depending on needs.
Visualization & Insight
The final result is presented in the form of a dashboard that is easy to understand, such as the one on the dashboard nolimite platform. Clients can see daily trends, conversation peaks, popular keywords, and sentiment distribution, ranging from:
- Conversation trend graph
- Daily sentiment
- Popular keywords
- Detection of negative opinion surge
Examples of sentences & sentiment results
Positive:
“Super fast shipping and steady product quality!”
Classification: positive
Negative:
“Customer service is not friendly and has long responded.”
Classification: Negative
Conclusion: Sentiment analysis is not just technology
The way Sentiment Analysis works is not just a matter of processing this text about understanding the digital emotions of consumers. With the tools as developed by Nolimite Indonesia, the brand can:
- Develop a more targeted communication strategy
- Respond to the crisis quickly
- Know the market feelings for their products
NOLIMIT DASHBOARD & INDSIGHT Not just this tools of secret weapons to maintain reputation, win the hearts of consumers, and anticipate crises.
[Kunjungi NoLimit Dashboard dan IndSight]
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