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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Arabic Sentiment Analysis
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SENTIMENT ANALYSIS API USE CASES
Get the customer insights you need to grow faster
Repustate automates the data collection that might otherwise take you hundreds of hours to sort through. It delivers the insights you need to see your brand more clearly from a customer perspective, and gives you a clear path for the future.
What is Sentiment Analysis?
To analyze sentiment means to detect if the feelings and thoughts in the language used for communication are positive or negative. For analyzing sentiment, unstructured text data is processed to extract, classify, and understand the feelings, opinions, or meanings expressed across hundreds of platforms. Repustate’s sentiment analysis API does so and more. It performs data mining to extract emotional insights from social media channels, videos, podcasts, customer calls, news, surveys, blogs, forums, or any of your other company data, whatever the format.
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Businesses use this emotion analysis to understand overall customer sentiment towards their brand, product, or service.
Table of Contents:
Use cases
How Does Sentiment Analysis Work?
The sentiment analysis algorithm determines if a chunk of text is positive, negative or neutral. It uses natural language processing (NLP) techniques such as part-of-speech tagging, lemmatization, prior polarity, negations, and semantic clustering.
Named entity recognition is used to identify the key topics or entities that appear in the text
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Next, sentiment scores are assigned to each of the extracted topics, entities and aspects for analyzing sentiment. The scores can range from -1 (true negative) to 1 (true positive) to the comment/text. A score of 0 or very close to 0 (±0.05) can be interpreted as neutral, i.e., either there was no sentiment or emotion expressed, or it was ambiguous.
Sentiment Analysis Applications
What Are The Ways Of Analyzing Sentiment?
Based on the complexity of the text, we can use three types of sentiment analysis methodologies as listed below:
Document-level sentiment analysis:
It is the high-level sentiment score generated by evaluating the full context of the statement.
Topic-based sentiment analysis:
This methodology helps analyze sentiment related to different topics & themes being discussed in a statement.
Aspect-based sentiment analysis:
This monitoring approach is the most detailed and gives results by analyzing sentiment at a very granular level. It constitutes aspect-based sentiment analysis of each aspect identified in the text.
Every business is unique. Learn which approach to analyze sentiment will suit you best.
What Makes Our Sentiment Analysis Tool Different?
Fast & Accurate
Our sentiment analysis tool is faster and more accurate because it is based on a massive corpus of training data. With 6 million entities and 300 classifications, its advanced Named Entity Recognition accurately analyses details across all sources.
Intelligent
Repustate’s sentiment analysis software is trained on a wide range of text samples, capturing native language idioms, industry jargon, and expressions. Every update of its natural language processing algorithm is an improvement on the last, so you can get the strategic value out of the text analytics API for meeting real-time business challenges.
Multilingual
Repustate natively supports over 23 languages and dialects including Arabic, Mandarin, and Korean. The Repustate multilingual sentiment analysis API never translates text to an intermediary language, thus leading to greater accuracy in analyzing sentiment.
Easy Deployment
Repustate’s sentiment analysis tool is available as a cloud API for quick and easy integration, or as an on-premise installation. With a one-click installer and a seamless upgrade process, you can get up and running with the solution quickly.
Book a personalized 15-minute demo to learn more about Repustate's sentiment analysis
Customizable
The Repustate sentiment analysis dashboard gives you a visual representation of your sentiment analysis results. Insights are presented in the form of charts, graphs and statistical bars, and making them easier to understand.
Scalable
Repustate’s sentiment analysis API regularly handles billions of API calls per day. It allows developers to process API requests in parallel and in bulk to improve throughput.
Private & Secure
No data or customer information sent to Repustate is ever stored on Repustate servers or shared with a 3rd party. Repustate employees are forbidden from looking at any transient data passed to the Repustate API unless explicitly asked to do so by a customer.
Support
Our client success team works with clients to plan, measure and report on partnership metrics on an on-going basis. Your dedicated engineer is always available for support calls. This translates to means no time waiting on hold – no filing tickets and awaiting a response.