๐ Sentiment Analysis of Free-Text Responses
Lucidya offers advanced sentiment analysis for free-text responses with specialized support for over 15 Arabic dialects. Our solution combines cutting-edge AI engines and NLP modules to deliver highly accurate sentiment analysis in real-time across all your free-text feedback.
๐ค How It Works
This feature uses Lucidya's AI engines and models to provide sentiment analysis (feelings) categorized into three types:
๐ Positive (N - %): Indicates customer satisfaction, approval, or happiness with the product/service.
๐ Neutral (N - %): Reflects balanced or impartial opinions without strong positive or negative sentiment.
๐ Negative (N - %): Shows customer dissatisfaction, complaints, or disappointment with the experience.
๐ Sentiment Analysis Graph
๐ก Note
This graph provides an overall sentiment analysis for all free-text questions. If you have more than one question, the graph will display a comprehensive sentiment analysis combining all free-text responses.
The Sentiment Analysis graph offers the following features:
Filter sentiment data by time period (Day, Week, Month, and Year).
Switch between Linear and Logarithmic graph views.
Export graph data as PNG or PDF file.
Toggle visibility of sentiment types (๐ฉ Positive, ๐ง Neutral, and ๐ฅ Negative).
โ๏ธ FAQs
๐ธ๐ฆ How Accurate Is the Sentiment Analysis for Arabic Text?
๐ธ๐ฆ How Accurate Is the Sentiment Analysis for Arabic Text?
Lucidya's sentiment analysis is highly accurate for Arabic text, with precision rates exceeding industry standards. Our specialized AI models are trained on vast Arabic language datasets and understand various dialects, slang, and cultural nuances.
โณ Can I Filter Responses by Sentiment Type?
โณ Can I Filter Responses by Sentiment Type?
Yes, you can filter responses by sentiment type (positive, neutral, negative) to focus on specific customer segments. This feature is available in the data exploration section of your dashboard.
๐ Does Sentiment Analysis Work for Mixed Language Responses?
๐ Does Sentiment Analysis Work for Mixed Language Responses?
Yes, our system effectively analyzes sentiment in responses containing mixed languages, particularly Arabic-English code-switching, which is common in the MENA region.
โฑ๏ธ How Often Is the Sentiment Analysis Updated?
โฑ๏ธ How Often Is the Sentiment Analysis Updated?
Sentiment analysis results are updated in real-time as new responses come in. The dashboard reflects the latest sentiment distribution across all your collected data.
๐งฉ Can I Integrate Sentiment Analysis with Other Reporting Tools?
๐งฉ Can I Integrate Sentiment Analysis with Other Reporting Tools?
Absolutely. Lucidya provides API access for enterprise customers to integrate sentiment analysis data with other business intelligence tools. Additionally, regular exports can be scheduled in various formats including CSV, Excel, and JSON.
๐ Is Historical Sentiment Data Available After System Updates?
๐ Is Historical Sentiment Data Available After System Updates?
Yes, all historical sentiment data is preserved when we update our AI models. In fact, when significant improvements are made to our sentiment analysis algorithms, you have the option to reprocess historical data with the new model for more accurate insights.
๐ก How Does the System Handle Sarcasm or Irony?
๐ก How Does the System Handle Sarcasm or Irony?
Our advanced NLP models are designed to detect contextual cues that indicate sarcasm or irony in text. The system analyzes patterns, sentiment contradictions, and linguistic markers to accurately categorize these nuanced expressions, particularly in Arabic contexts.
๐ Can I Customize the Sentiment Categories?
๐ Can I Customize the Sentiment Categories?
Currently, the sentiment analysis uses the standard three categories (positive, neutral, negative). However, enterprise users can work with our team to customize sentiment thresholds or add subcategories based on specific business needs.