Sentiment Analysis of Telegram Text Data

TG Data Set: A collection for training AI models.
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surovy115
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Joined: Sun Dec 22, 2024 4:01 am

Sentiment Analysis of Telegram Text Data

Post by surovy115 »

Once upon a time, in a small town called Techville, there was a curious young girl named Mia. She loved to explore the world of technology and was especially fascinated by how people communicated online. One day, while scrolling through her phone, she stumbled upon a messaging app called Telegram. Mia noticed that her friends shared a lot of messages, and she wondered what everyone really felt about their conversations.

Mia told her best friend, Sam, about her idea. "What if we could understand the feelings behind the texts people send on Telegram? " she asked excitedly. Sam, equally curious, agreed that it was a great idea. They decided to collect messages from their friends’ chat groups to see if they could analyze the emotions hidden within.

They spent the weekend gathering messages. australia telegram data They saved hundreds of texts—funny jokes, serious talks, and even some heartbreaking news. Mia and Sam divided the messages into categories: happy, sad, angry, and funny. They were amazed to see how different emotions shaped the conversations. Some friends sent lots of happy texts, while others expressed sadness or frustration.

With piles of text in front of them, Mia and Sam used a computer program called sentiment analysis to help them figure out what emotions were most common. The program read the messages and highlighted keywords that showed feelings. Mia watched in awe as the colorful graphs popped up on the screen.

As they worked, they noticed an interesting pattern. The group chat that often shared jokes had the most happy messages. But another chat, where friends discussed their problems, had many sad and worried texts. This surprised Mia and Sam, as they didn’t realize how deeply people felt about their topics.

Just then, they received a message from one of their friends. "What are you guys doing with our texts? " It was a playful inquiry, but Mia felt nervous. They hadn't told anyone about their project. Sam quickly typed back, "We just want to learn about feelings in our chats! "

To their relief, their friends found the idea fascinating. Soon, the group decided to get involved, sending their thoughts and feelings willingly. Together, they created a fun chart showing the town’s emotions, and Mia and Sam learned that understanding feelings can connect people in wonderful ways.

From that day on, Mia and Sam continued their project, sharing insights on how communication shapes friendships. They discovered that every text held a story, and every story brought their community closer.
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