July 8, 2021 Advanced, conversational AI, NLP

Memory Networks for Q&A(Question and Answer) Applications

This article was published as a part of the Data Science Blogathon Introduction This article shows the power of Memory Networks for Question and Answer (QA) applications in the context of simple natural language-based reasoning. Table of Contents What is the motivation behind Memory Networks? Why do we need Memory Networks when traditional NLP models are already performing well? Facebook bAbI dataset About Supporting Fact Components of Memory Networks How can we find the best match? How does the dot product […]

July 8, 2021 Advanced, Classification, Libraries, NLP, Project, Python, Structured Data, Supervised, Text

Sentiment Analysis using NLTK – A Practical Approach

This article was published as a part of the Data Science Blogathon Introduction The ultimate goal of this blog is to predict the sentiment of a given text using python where we use NLTK aka Natural Language Processing Toolkit, a package in python made especially for text-based analysis. So with a few lines of code, we can easily predict whether a sentence or a review(used in the blog) is a positive or a negative review. Before moving on to the implementation […]

July 8, 2021 Classification, News, NLP, Project, Python, Text

Build Your Own Fake News Classifier With NLP

img src: https://wallpapercave.com/w/wp7461543 Introduction The major objective of watching or reading news was to be informed about whatever is happening around us. There are several social media platforms in the current modern era, like Facebook, Twitter, Reddit, and so forth where millions of users would rely upon for knowing day-to-day happenings. Then came the fake news which spread across people as fast as the real news could. Fake news is a piece of incorporated or falsified information often aimed at misleading […]

July 8, 2021 Clustering, NLP, Project, Python, Text, Topic Modeling

Topic Modelling With LDA -A Hands-on Introduction

This article was published as a part of the Data Science Blogathon Introduction Imagine walking into a bookstore to buy a book on world economics and not being able to figure out the section of the store that has this book, assuming the bookstore has simply stacked all types of books together. You then realize how important it is to divide the bookstore into different sections based on the type of book. Topic Modelling is similar to dividing a bookstore based […]

July 7, 2021 Tool

VSCode extension to sort and refactor python imports using reorder-python-imports

reorder-python-imports VSCode extension to sort and refactor python imports using reorder-python-imports. Unlike other import organizers, reorder-python-imports focuses on reducing the frequency of merge conflicts, using static analysis to avoid the need for an active venv, and providing better better compatibility with pre-commit and black. To learn more, visit the original tool’s homepage. Features Refactoring the imports is provided as a code action, which can be invoked by right clicking on the code or the lightbulb icon and selecting Reorder Imports, […]

July 7, 2021 Text

Extract city and country mentions from Text like GeoText without regex

flashgeotext Extract and count countries and cities (+their synonyms) from text, like GeoText on steroids using FlashText, a Aho-Corasick implementation. Flashgeotext is a fast, batteries-included (and BYOD) and native python library that extracts one or more sets of given city and country names (+ synonyms) from an input text. Usage from flashgeotext.geotext import GeoText geotext = GeoText() input_text = ”’Shanghai. The Chinese Ministry of Finance in Shanghai said that China plans to cut tariffs on $75 billion worth of goods […]

July 7, 2021 Raspberrypi

Homeautomation system created with Raspberry Pi 3 and Firebase

Homeautomation System – Raspberry Pi 3 Desenvolvido com Python, Flask e Firebase permite o controle remoto através da rede local e Internet. Itens necessários Raspberry Pi3 Relé 1 dispositivo para ser controlado (Usei uma lâmpada, mas pode ser qualquer outro) Jumpers Sensores (Se quiser melhorar ainda mais) Etapas 1. Conexõs físicas Faça um esquema no Fritzing para definir qual pino será usado em qual dispositivo. Como na figura: -O pino com conexão vermelha é o VCC, alimenta com 5V-O pino […]

July 7, 2021 Automation

AI based process automation tool for text analysis need

Obsei Obsei is intended to be an automation tool for text analysis need. Obsei consist of – Observer, observes platform like Twitter, Facebook, App Stores, Google reviews, Amazon reviews, News, Website etc and feed that information to, Analyzer, which perform text analysis like classification, sentiment, translation, PII etc and feed that information to, Informer, which send it to ticketing system, data store, dataframe etc for further action and analysis. Current flow Future concept (Coming Soon! 🙂) Use cases Obsei use […]

July 7, 2021 Deep Learning

Classify different birds species based on their songs/calls

Bird-Song-Classification The goal is to classify different birds species based on their songs/calls. Spectrograms have been extracted from the audio samples and used as features for classification. A Siamese network based on 1D dilated convolutions is used here. Model is trained using triplet loss. I am using the British Birdsong Dataset available on Kaggle for this experiment. Download the data from here. This dataset is a subset of Xeno-Canto database. Siamese Networks along with dilated 1D convolutions are used here […]

July 7, 2021 Documentation

A simple python library for generating documentation from docstrings

inkpot a small simple library for generating documentation from docstrings Installation pip install inkpot Usage singel file python3 -m inkpot myfile.py or directory python3 -m inkpot myproject/ output to a file (also works with directories) python3 -m inkpot myfile.py > doc.md python3 -m inkpot myproject/ > doc.md Currently this returns a markdown table. More functionality and a better format will be added. Example Python file ex/add.py def add(a,b): “”” add to objects “”” return a + b python3 -m inkpot […]

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