# Introducing Line-by-Line Sentiment Analysis

Hey devs! We’ve been hard at work at JigsawStack, making our AI even smarter for you. Our **Sentiment API** just got a cool new upgrade: it now breaks down sentiment **line by line**. This means you can catch those slight emotional shifts in reviews, emails, chats, and more—giving you way more insight into your text data.

**Why Line-by-Line Sentiment is a Game-Changer**

Let’s face it, emotions in text are rarely straightforward. A review might start all sunshine and rainbows, then dip into a bit of a rant, before wrapping up with some polite suggestions. Most sentiment analysis tools treat text as one big chunk and miss those changes. But with line-by-line analysis, you can follow every emotional twist and turn.

Here’s why that great:

* **Deeper Emotional Insights**: See exactly where emotions shift in a conversation, review, or post—so you can respond more precisely.
    
* **Better Context**: Long texts like articles or podcasts? No problem. Now you can track sentiment trends throughout the whole thing.
    
* **Workflow Automation**: Flag specific lines in support tickets that need attention, or set up other cool automations with ease.
    

**How It Works**

Getting started with our updated API is a breeze. Just plug it into your app using our super simple REST API, and you’re good to go. Plus, it’s optimized for real-time performance, so it’s fast enough to handle even the biggest text blocks.

Let’s check out a couple of **code examples** to see it in action.

**1\. Detecting Sentiment Shifts in a Customer Review**

Let’s analyze a product review written in Spanish that has mixed emotions.

```javascript
import { JigsawStack } from "jigsawstack";

const jigsawstack = JigsawStack({
    apiKey: "your-api-key",
});

const result = await jigsawstack.sentiment({
    text: "El producto es excelente, pero la entrega fue lenta. Finalmente, el equipo de soporte resolvió el problema rápidamente."
});

console.log(result);
```

**Result:**

```javascript
{
  "success": true,
  "sentiment": {
    "emotion": "satisfaction",
    "sentiment": "positive",
    "score": 0.85,
    "sentences": [
      {
        "text": "El producto es excelente",
        "emotion": "happiness",
        "sentiment": "positive",
        "score": 0.9
      },
      {
        "text": "la entrega fue lenta",
        "emotion": "annoyance",
        "sentiment": "negative",
        "score": 0.7
      },
      {
        "text": "el equipo de soporte resolvió el problema rápidamente",
        "emotion": "satisfaction",
        "sentiment": "positive",
        "score": 0.95
      }
    ]
  }
}
```

Here the API detects three different emotions across the review— **happiness**, **annoyance**, and **satisfaction**. This kind of granularity allows you to respond more effectively, understanding exactly where the customer’s experience dipped and improved.

**2\. Detecting Sentiment Shifts in an Email**

Next, let’s analyze an email where the sender expresses a range of emotions.

```javascript
const result = await jigsawstack.sentiment({
    text: "I love your product! However, I've had some issues with the latest update. Your support team helped me out, though, and now everything is working perfectly."
});

console.log(result);
```

**Result:**

```javascript
{
  "success": true,
  "sentiment": {
    "emotion": "happiness",
    "sentiment": "positive",
    "score": 0.9,
    "sentences": [
      {
        "text": "I love your product!",
        "emotion": "love",
        "sentiment": "positive",
        "score": 0.95
      },
      {
        "text": "However, I've had some issues with the latest update.",
        "emotion": "sadness",
        "sentiment": "negative",
        "score": 0.7
      },
      {
        "text": "Your support team helped me out, though, and now everything is working perfectly.",
        "emotion": "happiness",
        "sentiment": "positive",
        "score": 0.9
      }
    ]
  }
}
```

This breakdown shows how emotions shift throughout the email, from **love** to **frustration** and then back to **happiness**. This level of detail helps you focus on specific issues while also acknowledging positive feedback.

With support for **22 emotion types** and **180+ languages**, including slang and colloquialisms, our API is ridiculously accurate. Whether you’re analyzing tweets, reviews, or long-form content, we’ve got you covered.

**Test It Out—No Code Needed!**

Want to try it out? You can check out the line-by-line sentiment analysis **right on our landing page**—no need to write any code. Just paste in your text and watch as the API breaks down the emotions in real time.

**Use Cases**

* **Social Media Sentiment**: Monitor the emotional tone of your brand’s social presence.
    
* **Customer Feedback**: Get detailed insights from your reviews by analyzing emotional shifts.
    
* **Support Automation**: Automatically flag those support tickets where the from neutral to negative, so you can respond ASAP.
    

**Get Started Today**

Ready to dig deeper into your data’s emotions? Sign up for a free JigsawStack account, grab your API key, and level up your sentiment analysis!

**Join the JigsawStack Community**

If you're interested in seeing how JigsawStack shapes the AI world, join our growing community of developers on [Discord](https://discord.gg/GnvmdZ7z) and [Twitter.](https://x.com/jigsawstack) Share your projects, ask questions, and collaborate with others who are just as passionate about innovation as you are.