Count the frequency of letters or words in a text file and show a graph.

Overview

Word Counter

By EBUS Coding Club

Count the frequency of letters or words in a text file and show a graph.

Requirements

Usage

Download the source code and unzip the downloaded file. Run pip install -r requirements.txt in the source code directory to install the required packages. Create a text file in the same directory as main.py named input.txt and fill it with text you want to analyze. Run the script in an IDE of your choice or with python main.py.

Objective

Given a text file, count the frequency (number of occurrences) of either letters or words, and show a bar graph to visualize the results. Do not include whitespace or punctuation in the results, with the exception of apostrophes that are inside words.

Next Steps

  • Add command line arguments for input file path and other options
  • Add timers for significant steps to diagnose performance
  • Optimize speed and memory usage
  • Anything else you can think of to improve the script

License

MIT License

Owner
EBUS Coding Club
Students and teachers in the EBUS Coding Club
EBUS Coding Club
This simple Python program calculates a love score based on your and your crush's full names in English

This simple Python program calculates a love score based on your and your crush's full names in English. There is no logic or reason in the calculation behind the love score. The calculation could ha

p.katekomol 1 Jan 24, 2022
Using context-free grammar formalism to parse English sentences to determine their structure to help computer to better understand the meaning of the sentence.

Sentance Parser Executing the Program Make sure Python 3.6+ is installed. Install requirements $ pip install requirements.txt Run the program:

Vaibhaw 12 Sep 28, 2022
Paddle2.x version AI-Writer

Paddle2.x 版本AI-Writer 用魔改 GPT 生成网文。Tuned GPT for novel generation.

yujun 74 Jan 04, 2023
👄 The most accurate natural language detection library for Python, suitable for long and short text alike

1. What does this library do? Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a prepr

Peter M. Stahl 334 Dec 30, 2022
Mapping a variable-length sentence to a fixed-length vector using BERT model

Are you looking for X-as-service? Try the Cloud-Native Neural Search Framework for Any Kind of Data bert-as-service Using BERT model as a sentence enc

Han Xiao 11.1k Jan 01, 2023
Large-scale pretraining for dialogue

A State-of-the-Art Large-scale Pretrained Response Generation Model (DialoGPT) This repository contains the source code and trained model for a large-

Microsoft 1.8k Jan 07, 2023
A python gui program to generate reddit text to speech videos from the id of any post.

Reddit text to speech generator A python gui program to generate reddit text to speech videos from the id of any post. Current functionality Generate

Aadvik 17 Dec 19, 2022
End-to-end image captioning with EfficientNet-b3 + LSTM with Attention

Image captioning End-to-end image captioning with EfficientNet-b3 + LSTM with Attention Model is seq2seq model. In the encoder pretrained EfficientNet

2 Feb 10, 2022
Code to reproduce the results of the paper 'Towards Realistic Few-Shot Relation Extraction' (EMNLP 2021)

Realistic Few-Shot Relation Extraction This repository contains code to reproduce the results in the paper "Towards Realistic Few-Shot Relation Extrac

Bloomberg 8 Nov 09, 2022
This repository implements a brute-force spellchecker utilizing the Damerau-Levenshtein edit distance.

About spellchecker.py Implementing a highly-accurate, brute-force, and dynamically programmed spellchecking program that utilizes the Damerau-Levensht

Raihan Ahmed 1 Dec 11, 2021
profile tools for pytorch nn models

nnprof Introduction nnprof is a profile tool for pytorch neural networks. Features multi profile mode: nnprof support 4 profile mode: Layer level, Ope

Feng Wang 42 Jul 09, 2022
A complete NLP guideline for enthusiasts

NLP-NINJA A complete guide for Natural Language Processing in Python Table of Contents S.No. Topic Level Meaning 1 Tokenization 🤍 Beginner 2 Stemming

MAINAK CHAUDHURI 22 Dec 27, 2022
A natural language processing model for sequential sentence classification in medical abstracts.

NLP PubMed Medical Research Paper Abstract (Randomized Controlled Trial) A natural language processing model for sequential sentence classification in

Hemanth Chandran 1 Jan 17, 2022
A sentence aligner for comparable corpora

About Yalign is a tool for extracting parallel sentences from comparable corpora. Statistical Machine Translation relies on parallel corpora (eg.. eur

Machinalis 128 Aug 24, 2022
pytorch implementation of Attention is all you need

A Pytorch Implementation of the Transformer: Attention Is All You Need Our implementation is largely based on Tensorflow implementation Requirements N

230 Dec 07, 2022
Paradigm Shift in NLP - "Paradigm Shift in Natural Language Processing".

Paradigm Shift in NLP Welcome to the webpage for "Paradigm Shift in Natural Language Processing". Some resources of the paper are constantly maintaine

Tianxiang Sun 41 Dec 30, 2022
The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.

Good news! Our new work exhibits state-of-the-art performances on DocUNet benchmark dataset: DocScanner: Robust Document Image Rectification with Prog

Hao Feng 231 Dec 26, 2022
A NLP program: tokenize method, PoS Tagging with deep learning

IRIS NLP SYSTEM A NLP program: tokenize method, PoS Tagging with deep learning Report Bug · Request Feature Table of Contents About The Project Built

Zakaria 7 Dec 13, 2022
In this repository we have tested 3 VQA models on the ImageCLEF-2019 dataset.

Med-VQA In this repository we have tested 3 VQA models on the ImageCLEF-2019 dataset. Two of these are made on top of Facebook AI Reasearch's Multi-Mo

Kshitij Ambilduke 8 Apr 14, 2022
The guide to tackle with the Text Summarization

The guide to tackle with the Text Summarization

Takahiro Kubo 1.2k Dec 30, 2022