added sentiment analysis sample

.changeset/cold-melons-type.md

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+---
+"@google/generative-ai": minor
+---
+
+added a sample that shows text analysis using javascript and gemini

samples/sentiment_analysis.js

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+/**
+ * @license
+ * Copyright 2025 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+import { 
+    GoogleGenerativeAI 
+} from "@google/generative-ai";
+
+async function runSentimentAnalysis(text) {
+    // [START runSentimentAnalysis]
+    // Make sure to include these imports:
+    // import { GoogleGenerativeAI } from "@google/generative-ai";
+    const genAI = new GoogleGenerativeAI(process.env.API_KEY);
+    const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" },  {apiVersion: "v1alpha"},);
+
+  try {
+    // Define the prompt for sentiment analysis
+    const prompt = `Analyze the sentiment of the following text and classify it as "positive", "negative", or "neutral". Provide a brief explanation.
+
+Text: "${text}"`;
+
+    // Generate content using the model
+    const result = await model.generateContent(prompt);
+    const response = await result.response;
+    const sentimentAnalysis = await response.text();
+
+    // Output the result
+    console.log("Sentiment Analysis Result:");
+    console.log(sentimentAnalysis);
+  } catch (error) {
+    console.error("Error performing sentiment analysis:", error);
+  }
+  // [END runSentimentAnalysis]
+}
+
+// Example usage
+const sampleText = "I absolutely love this product! It's amazing and works perfectly.";
+runSentimentAnalysis(sampleText);