# Spam-Questions-Classification

**Repository Path**: scorpiocrt/Spam-Questions-Classification

## Basic Information

- **Project Name**: Spam-Questions-Classification
- **Description**: NLP using LSTM
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-08-01
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Spam and Question Classification using RNN(LSTM)

Implemented RNN using LSTM framework on Two datasets -> (a) Questions; (Learning question classifiers dataset) [1] 
(b) Spam; (Enron Spam Dataset) [2]

[1] X. Li and D. Roth, “Learning question classifiers,” in Proceedings of the 19th international conference on 
Computational linguistics-Volume 1, pp. 1–7, Association for Computational Linguistics, 2002.

[2] V. Metsis, I. Androutsopoulos, and G. Paliouras, “Spam filtering with naive bayes-which naive bayes?,” in 
Proceedings of the 3rd Conference on Email and Anti-Spam (CEAS 2006), 2006.