Sentiment Analysis — Review & Text Scoring | NexGenData
Pricing
from $20.00 / 1,000 sentiment records
Sentiment analysis for reviews, social posts, support tickets and any English text. Review sentiment analysis with VADER (rule-based, deterministic, tuned for short informal text): label, compound and pos/neu/neg scores. No API keys, no LLM fees.
You can access the Sentiment Analysis — Review & Text Scoring | NexGenData programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "texts": [9 "I absolutely love this product! It completely solved my problem and the customer service was amazing.",10 "Terrible experience. The app crashed twice and support was rude.",11 ] }12
13# Run the Actor and wait for it to finish14run = client.actor("nexgendata/ai-sentiment-analyzer").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")18for item in client.dataset(run.default_dataset_id).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Sentiment Analysis — Review & Text Scoring | NexGenData API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: