July 10, 2021 Advanced, Classification, NLP, Project, Python, Structured Data, Text

LSTM for Text Classification in Python

This article was published as a part of the Data Science Blogathon With an emerging field of deep learning, performing complex operations has become faster and easier. As you start exploring the field of deep learning, you are definitely going to come across words like Neural networks, recurrent neural networks, LSTM, GRU, etc. This article explains LSTM and its use in Text Classification. So what is LSTM? And how can it be used? What is LSTM? LSTM stands for Long-Short Term […]

July 10, 2021 CHATBOT, Deep Learning, Intermediate, NLP, Project, Python, Text

Build your own AI chatbot from scratch!

This article was published as a part of the Data Science Blogathon Introduction It’s pretty simple! Today we will learn to create an AI chatbot from scratch using Intent matching and NLP algorithms. Let’s see what we are gonna do: * Prepare our dataset with questions(keywords) and respective intents. * Prepare a JSON file containing replies for each intent. * Transform our data into Tf-Idf Vectors. * Use Deep Neural Network to classify the User’s question into one of the intents […]

July 10, 2021 Beginner, Data Science, NLP, Python, Text

NLP: Answer Retrieval from Document using Python

This article was published as a part of the Data Science Blogathon Introduction → This article focuses on answer retrieval from a document by using similarity and difference metrics. This task falls under Natural Language Processing which is a subset of Deep Learning. In this article we will be understanding the concept of general similarity algorithms and how can they be applied to complete our task. The article will be based on python for the coding part. How to Approach → To […]

July 10, 2021 Advanced, NLP, Project, Python, Structured Data, Text, Use Cases

Resume Screening with Natural Language Processing in Python

For each recruitment, companies take out online ads, referrals and go through them manually. Companies often submit thousands of resumes for every posting. When companies collect resumes through online advertisements, they categorize those resumes according to their requirements. After collecting resumes, companies close advertisements and online applying portals. Then they send the collected resumes to the Hiring Team(s). It becomes very difficult for the hiring teams to read the resume and select the resume according to the requirement, there is […]

July 10, 2021 Advanced, Algorithm, NLP, Project, Python, Text

Part 14: Step by Step Guide to Master NLP – Basics of Topic Modelling

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In this series, we completed our discussion on the entity extraction technique “Named Entity Recognition (NER)”. But at that time, we didn’t discuss another popular entity extraction technique called Topic Modelling. So, in continuation of that article, we will discuss Topic modelling in this article. In this article, we will discuss firstly some of […]

July 10, 2021 Advanced, NLP, Text

Part 17: Step by Step Guide to Master NLP – Topic Modelling using pLSA

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous article, we discussed a Topic modelling technique named Latent Semantic Analysis (LSA), but we observed that there are some disadvantages of LSA, so to overcome those problems, we come up with the concept of pLSA, which stands for Probabilistic Latent Semantic Analysis. So, In this article, we will deep dive into […]

July 10, 2021 Beginner, Machine Learning, NLP, Python, Text, Topic Modeling

Topic extraction From Prime Minister Modi’s Speech

This article was published as a part of the Data Science Blogathon INTRODUCTION Artificial Intelligence (AI) has been a trendy term among individuals for many years. Earlier, when we used to hear the term “AI”, we could only think about Robots. However AI is not limited to robots, and nowadays, every electronic device we use has AI associated with it, be it smartphones, smart TVs, refrigerators, or Air conditioners. AI basically means a machine can take its decision without human intervention. […]

July 9, 2021 Bot

An interactive and multi-function Telegram bot

PyKorone An interaction and fun bot for Telegram groups, having some useful and other useless commands. Created as an experiment and learning bot but being expanded and improved over time. This repository contains the source code of @PyKoroneBot Telegram bot, along with instructions for hosting your own instance. Requirements Installation Setup First, clone this Git repository locally: git clonehttps://github.com/AmanoTeam/PyKorone After that, you can run python3 -m pip install . to install the bot along with the dependencies. Error: Directory ‘.’ […]

July 9, 2021 Deep Learning

Semi Supervised Raw-to-Raw Mapping in python

raw2raw Project page for the paper Semi-Supervised Raw-to-Raw Mapping 2021. Mahmoud Afifi and Abdullah Abuolaim York University Project page of the paper Semi-Supervised Raw-to-Raw Mapping. Mahmoud Afifi and Abdullah Abuolaim. arXiv preprint arXiv:2106.13883, 2021. If you use this code, please cite our paper: @article{afifi2021raw2raw, title={Semi-Supervised Raw-to-Raw Mapping}, author={Afifi, Mahmoud and Abuolaim, Abdullah}, journal={arXiv preprint arXiv:2106.13883}, year={2021} } Abstract The raw-RGB colors of a camera sensor vary due to the spectral sensitivity differences across different sensor makes and models. This paper […]

July 9, 2021 Text

Used to format docstrings in Python files or reStructuredText

Style-Doc Style-Doc is Black for Python docstrings and reStructuredText (rst). It can be used to format docstrings (Google docstring format) in Python files or reStructuredText. Installation Style-Doc is available at the Python Package Index (PyPI). It can be installed with pip: $ pip install style-doc Usage $ style-doc –help usage: style-doc [-h] [–max_len MAX_LEN] [–check_only] [–py_only] [–rst_only] files [files …] positional arguments: files The file(s) or folder(s) to restyle. optional arguments: -h, –help show this help message and exit –max_len […]

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