How to Detect Blockchain Sentiment Shifts with the Pulsebit API (Python)

The Problem

If you’ve ever tried scraping sentiment data from various sources to gauge community feelings about blockchain, you know it’s a pain. The information is scattered, the APIs are rate-limited, and parsing unstructured data can be a nightmare. You end up spending more time on the infrastructure than on analyzing the actual sentiment.

That’s where having a single source of truth becomes essential. Luckily, there’s a solution: the Pulsebit API. With just one endpoint, you can get concise sentiment analytics without all the hassle.

The Solution

The Pulsebit API provides an endpoint that aggregates sentiment data into a neat package. Here’s the endpoint you’ll want to focus on:

GET /news_semantic

This endpoint returns a comprehensive snapshot of current sentiment related to specific topics, in this case, blockchain. It’s an efficient way to get the information you need without the mess of DIY scraping.

The Code

Let’s dive into how you can make a request to the Pulsebit API using Python. You’ll need the requests library, so make sure you have it installed:

pip install requests

Now, here's how to make the API call:

Left: Python GET /news_semantic call for 'blockchain'. Right: live JSON response structure. Three lines of Python. Clean JSON. No infrastructure required. Source: Pulsebit /news_semantic.

import requests

def get_blockchain_sentiment():
    url = "https://pulsebit.lojenterprise.com/api/news_semantic"
    params = {"topic": "blockchain"}

    response = requests.get(url, params=params)

    if response.status_code == 200:
        return response.json()
    else:
        raise Exception("Error fetching data: " + str(response.status_code))

data = get_blockchain_sentiment()
print(data)

Reading the Response

Once you run the above code, you’ll get a response with a variety of fields. Let’s break down the key components from the current data:

• sentiment_score: This is currently +0.000. At first glance, this might seem neutral, but it’s crucial to compare it to historical data. This stagnant score in the context of a rising momentum is worth noting.
• momentum_24h: A momentum of +0.332 indicates that sentiment is gaining traction. When you see a stable sentiment score but rising momentum, it hints at potential shifts.
• confidence: The confidence level of 0.870 suggests that the data is reliable. You can trust that the sentiment shifts, while subtle, are backed by data.
• semantic_clusters: The presence of 15 clusters indicates diverse opinions and discussions occurring around blockchain. This is not just one narrative; it’s multifaceted.
• direction: The noted direction is "rising," which is something to keep an eye on.

Three Use Cases

1. Algo Alert: Set up an alert system that triggers when the momentum rises above a certain threshold, say +0.5. This could be a signal for you to investigate further or take action.

2. Slack Bot: Create a Slack bot that pulls this sentiment data daily and posts updates in your development channel. When sentiment shifts significantly, you can get notifications without actively checking.

3. Dashboard: Build a simple dashboard that visualizes both the sentiment score and momentum over time. Displaying these metrics can help you recognize patterns and make data-driven decisions.

Get Started

If you want to dive deeper into the Pulsebit API, check out the documentation here. You’ll find additional endpoints that can supplement your analysis, helping you stay ahead of sentiment shifts in the blockchain space.

In summary, while the current sentiment score might seem unremarkable, the rising momentum and high confidence level indicate that something is brewing in the blockchain community. By leveraging the Pulsebit API, you can stay informed and be proactive in your strategies. Happy coding!

Arabic coverage led by 4.2 hours. English at T+4.2h. Confidence scores: Arabic 0.82, Mandarin 0.68, English 0.41 Source: Pulsebit /sentiment_by_lang.