Sentiment Analysis Classifier - Low-costπ²π₯π€π
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from $0.00005 / actor start
Sentiment Analysis Classifier - Low-costπ²π₯π€π
π€π Analyze text sentiment with AI in seconds. Detect positive, negative, and neutral sentiment for each sentence while extracting sentiment scores and classifications. Ideal for customer feedback analysis, review monitoring, social media insights and API-powered sentiment intelligence. π
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π€π Sentiment Analysis Tool | Bulk Text Sentiment Analysis | Apify Actor
π Analyze Text Sentiment in Seconds (No Code)
The Sentiment Analysis Tool (Apify Actor) is a powerful, scalable, and SEO-optimized AI text analysis tool that classifies large volumes of text into Positive, Neutral, or Negative sentiment.
Analyze customer feedback, reviews, comments, emails, survey responses, social media posts, support tickets, AI datasets, and any other text in bulk. Export structured sentiment data for business intelligence, NLP projects, market research, customer experience monitoring, and AI applications.
π₯ Why This Sentiment Analysis Tool?
β Best AI Sentiment Analysis tool on Apify
β Supports bulk text analysis (multi-text mode π)
β AI-powered sentiment classification
β Positive / Neutral / Negative detection
β Confidence scoring
β Automatic language detection
β Fast & scalable processing
β 100% structured JSON / CSV / Excel output
β Perfect for AI datasets & NLP projects
β No coding required
π― What This Tool Does
This Apify Actor analyzes text using AI and automatically determines its sentiment.
π Core Features
β Bulk text sentiment analysis (SEO BOOST π)
β Analyze unlimited text inputs
β Positive / Neutral / Negative classification
β AI confidence score
β Automatic language detection
β Emotion strength analysis
β Word & sentence statistics
β Clean structured dataset output
β High-speed processing engine
β‘ Input Configuration (Simple & Powerful)
π₯ BULK TEXT MODE (SEO BOOST π)
{"texts": ["I am so happy with this product!","This is the worst experience I've ever had.","The weather is nice today.","I feel great about this decision.","I am not sure if I made the right choice."]}
π Extracted Analysis Data (Structured Output)
| Field | Description |
|---|---|
| inputText | Original input text |
| finalClassification | Positive / Neutral / Negative |
| value | Overall sentiment score |
| language | Detected language |
| positiveScore | Positive confidence |
| neutralScore | Neutral confidence |
| negativeScore | Negative confidence |
| emotionStrength | Emotion intensity |
| wordCount | Number of words |
| sentenceCount | Number of sentences |
| languageDetectionConfidence | Language detection confidence |
π‘ Use Cases (High Demand SEO Keywords)
This AI sentiment analysis tool is perfect for:
π± Social media monitoring
β Customer review analysis
π Product review analysis
π¨ Hotel review analysis
π½ Restaurant review analysis
π¬ Customer feedback analysis
π§ Email sentiment detection
π― Brand reputation monitoring
π Market research
π€ AI & NLP datasets
π§ Machine Learning projects
π Business intelligence
β‘ Bulk text sentiment analysis
π Key Features (Apify SEO Optimized)
β‘ Bulk text processing
π€ AI-powered sentiment analysis
π Automatic language detection
π Confidence scoring
π§ Emotion strength analysis
π Structured output
πΎ Export-ready datasets
π Reliable processing engine
βοΈ Cloud scalable execution
π€ Output Formats Supported
β JSON
β CSV
β Excel XLSX
β XML
β HTML
π¦ Example Output
{"inputText": "I am so happy with this product!","finalClassification": "Positive","value": 0.6468,"language": "en","positiveScore": 0.461,"neutralScore": 0.539,"negativeScore": 0,"emotionStrength": 0.461,"wordCount": 7,"sentenceCount": 1,"languageDetectionConfidence": 0.99}
π Preconfigured Dataset Views
π Sentiment Overview
Quick summary of analyzed texts.
Fields included:
β’ Classification
β’ Sentiment Score
β’ Language
β’ Confidence
π Detailed Analysis View
Complete AI sentiment analysis.
Fields included:
β’ Original Text
β’ Classification
β’ Positive Score
β’ Neutral Score
β’ Negative Score
β’ Emotion Strength
β’ Language
β’ Word Count
β’ Sentence Count
π Language Detection View
Analyze texts by detected language.
Fields included:
β’ Language
β’ Detection Confidence
β’ Sentiment
π Confidence Analysis View
Evaluate AI prediction confidence.
Fields included:
β’ Classification
β’ Confidence Scores
β’ Emotion Strength
π₯ Why This is the BEST Sentiment Analysis Tool on Apify?
β Optimized for Apify Marketplace SEO
β AI-powered sentiment engine
β Bulk text analysis support
β Automatic language detection
β Enterprise-ready architecture
β Clean structured datasets
β Perfect for AI, NLP & Business Intelligence
πΈ Pricing
This scraper runs on a pay-per-result pricing model.
You only pay for successfully extracted records.
π³ Price: $9.49 / 1,000 results
β FAQ (SEO BOOST SECTION)
Can I analyze multiple texts at once?
Yes β Bulk Text Mode is fully supported.
Does it classify sentiment automatically?
Yes β every text is automatically classified as Positive, Neutral, or Negative.
Does it detect the language?
Yes β language detection is included automatically.
Does it provide confidence scores?
Yes β confidence values are returned for every prediction.
Is the tool fast?
Yes β optimized for high-speed AI text processing.
Can I export the results?
Yes β JSON, CSV, Excel, XML and HTML are supported.
Is coding required?
No β it's a 100% no-code Apify Actor.
β οΈ Disclaimer
This tool is an independent AI text analysis solution and is not affiliated with any social media platform, review platform, or third-party service.
π Related Actors (PrimeScrape AI Intelligence Suite)
We are building a complete PrimeScrape AI Intelligence Suite.
π More AI-powered text analysis tools coming soon π
π PrimeScrape Ecosystem
Built for AI, automation, data extraction, NLP, and business intelligence at scale.
π€ AI text analysis
π Sentiment intelligence
π¬ Customer feedback analysis
π Market intelligence
π§ AI datasets
βοΈ Automation pipelines
π Enterprise analytics
π¬ Support
βββββ Leave a review if you enjoy this tool.
π© Contact us for enterprise AI solutions, custom NLP workflows, or large-scale sentiment analysis projects.