Sending Message to Telegram Members Using Telethon

In this tutorial, we are going to use the CSV file that we generated in Scraping Telegram Members tutorial to send bulk messages to our scraped Telegram group members using Telegram API and Python Telethon library. So if you did not already checked that, visit this tutorial and learn how to get this file. Basically we will feed our new Python script with that CSV file to read usernames or user IDs from it and send a message to them.

Continue reading “Sending Message to Telegram Members Using Telethon”

Scraping Telegram Group Members with Python and Telethon

Telegram is one of the best communications apps around the world. People usually use Telegram for managing their communities and promotions.

Startup companies or ongoing projects use Telegram for bringing audience attention to their products and services. Telegram Members are engaging with the community! This is what we all want. Engaged members will help to grow the community.

In this tutorial, you will learn how to use Telegram API extract group members.

Continue reading “Scraping Telegram Group Members with Python and Telethon”

Edit Distance and Jaccard Distance Calculation with NLTK

Edit Distance

Edit Distance (a.k.a. Levenshtein Distance) is a measure of similarity between two strings referred to as the source string and the target string.

The distance between the source string and the target string is the minimum number of edit operations (deletions, insertions, or substitutions) required to transform the source into the target. The lower the distance, the more similar the two strings. 

Continue reading “Edit Distance and Jaccard Distance Calculation with NLTK”

Text Classification with Pandas & Scikit

In this tutorial, we introduce one of most common NLP and Text Mining tasks, that of Document Classification. Note that while being common, it is far from useless, as the problem of classifying content is a constant hurdle we humans face every day. It is important to know basic elements of this problem since many of them can be used for other tasks such as sentiment analysis.

Continue reading “Text Classification with Pandas & Scikit”