Reference Research Bot

This project will create search engine bot on telegram using TF IDF and Cosine Similarity.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

Make sure you have installed Python 3 on your device

File Structure

1. bot.py this file to serve get updates and send message from request
2. config.cfg token telegram bot from Bot Father
3. database.py define database structure with object oriented mapping
4. search_engine.py custom library to get result of cosine similarity document
5. server.py serve message and result from engine
6. tensor_flow.py natural language processing for greeting response
7. intents.json greeting or intents json data

Step for get dataset

1. Scraping data from http://digilib.uad.ac.id/penelitian/Penelitian/index see on Scrapping.ipynb
2. Update dataset

How To Run

1. Install requirement

pip install -r requirements.txt

2. Install punkt with nltk.download()

>>> import nlit
>>> nltk.download("punkt")

3. Run server.py

python server.py

4. Go to Telegram Application or access from Telegram Web, then chat with this bot.

Built With

• Python 3 - The language programming used
• Virtualenv - The virtual environment used
• SQL Alchemy - The database library
• NLTK - Natural Language Toolkit
• Tensor Flow - Tensor Flow
• Tf Learn - Tensor flow for learning
• Scikit Learn - Scikit Learn use Cosine Similarity

Clone or Download

You can clone or download this project

> Clone : git clone https://github.com/piinalpin/research-references-bot.git

Chat His

• Telegram Bot Chat : https://t.me/research_references_bot
• LINE Bot Chat : http://line.me/ti/p/@437nryhw

Authors

• Alvinditya Saputra - LinkedIn Instagram Twitter