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:red_circle: **Title** : Text Classification for Spam Detection
:red_circle: **Aim** : Create a text classification system to detect spam messages using machine learning techniques.
:red_circle:…
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Problem Description:
The aim is to develop a robust spam email detection model that can accurately classify emails as spam or not spam. With the increasing volume of email communication, distinguis…
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**Is your feature request related to a problem? Please describe.**
I’m always frustrated when important emails get lost among spam messages. The current filtering systems often misclassify legitimate…
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# Import necessary libraries
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import Multin…
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> If possible it would be nice to get a small subset of past dataset related to this flagged comments/post/thread from ResearchHub and some other that are neutral or considered good post. Something of…
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Hi, I trained the model using a dataset of Russian sms messages with an accuracy of 80 percent. I am trying to build a project in Android Studio. I install it on my phone via APK Installer, but everyt…
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Dear @FAHADSUST , We are doing research on building a model for bangla-spam-sms classification which will be mobile friendly . We've got only one dataset on kaggle which has a few bangla sms . We will…
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I am following this tutorial to use function call with qwen2:0.5b https://github.com/abetlen/llama-cpp-python/blob/main/examples/notebooks/Functions.ipynb
I used this command to start a serve ins…
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This issue is to implement the Naive Bayes algorithm in Python. The algorithm will be used to predict the probability of an event based on prior knowledge of conditions that might be related to the ev…
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Members:
- Daniel Schmitz
- Amin Schleiter
- Tobias Kister
- Amina Uicker-Darwish
Aim:
Identizierung von unnötigen, ungewöhnlichen/gefährlichen Texten:
- Vergleichen von verschiedene…