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
Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated

Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated. This engine can later be used for downstream tasks in NLP such as Q&A, summarization, generation

Diego 1 Mar 20, 2022
EMNLP'2021: Can Language Models be Biomedical Knowledge Bases?

BioLAMA BioLAMA is biomedical factual knowledge triples for probing biomedical LMs. The triples are collected and pre-processed from three sources: CT

DMIS Laboratory - Korea University 41 Nov 18, 2022
Athena is an open-source implementation of end-to-end speech processing engine.

Athena is an open-source implementation of end-to-end speech processing engine. Our vision is to empower both industrial application and academic research on end-to-end models for speech processing.

Ke Technologies 34 Sep 08, 2022
Multiple implementations for abstractive text summurization , using google colab

Text Summarization models if you are able to endorse me on Arxiv, i would be more than glad https://arxiv.org/auth/endorse?x=FRBB89 thanks This repo i

463 Dec 26, 2022
Diaformer: Automatic Diagnosis via Symptoms Sequence Generation

Diaformer Diaformer: Automatic Diagnosis via Symptoms Sequence Generation (AAAI 2022) Diaformer is an efficient model for automatic diagnosis via symp

Junying Chen 20 Dec 13, 2022
Natural Language Processing Best Practices & Examples

NLP Best Practices In recent years, natural language processing (NLP) has seen quick growth in quality and usability, and this has helped to drive bus

Microsoft 6.1k Dec 31, 2022
DataCLUE: 国内首个以数据为中心的AI测评(含模型分析报告)

DataCLUE 以数据为中心的AI测评(DataCLUE) DataCLUE: A Chinese Data-centric Language Evaluation Benchmark 内容导引 章节 描述 简介 介绍以数据为中心的AI测评(DataCLUE)的背景 任务描述 任务描述 实验结果

CLUE benchmark 135 Dec 22, 2022
Simple NLP based project without any use of AI

Simple NLP based project without any use of AI

Shripad Rao 1 Apr 26, 2022
OCR을 이용하여 인원수를 인식 후 줌을 Kill 해줍니다

How To Use killtheZoom-2.0 Windows 0. https://joyhong.tistory.com/79 이 글을 보면서 tesseract를 C:\Program Files\Tesseract-OCR 경로로 설치해주세요(한국어 언어 추가 필요) 상단의 초

김정인 9 Sep 13, 2021
A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion

List Of English Words A text file containing over 466k English words. While searching for a list of english words (for an auto-complete tutorial) I fo

dwyl 8.5k Jan 03, 2023
An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.

Extracting OpenAI CLIP (Global/Grid) Features from Image and Text This repo aims at providing an easy to use and efficient code for extracting image &

Jianjie(JJ) Luo 13 Jan 06, 2023
Parrot is a paraphrase based utterance augmentation framework purpose built to accelerate training NLU models

Parrot is a paraphrase based utterance augmentation framework purpose built to accelerate training NLU models. A paraphrase framework is more than just a paraphrasing model.

Prithivida 681 Jan 01, 2023
Korean stereoypte detector with TUNiB-Electra and K-StereoSet

Korean Stereotype Detector Korean stereotype sentence classifier using K-StereoSet with TUNiB-Electra Web demo you can test this model easily in demo

Sae_Chan_Oh 11 Feb 18, 2022
Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)

TOPSIS implementation in Python Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) CHING-LAI Hwang and Yoon introduced TOPSIS

Hamed Baziyad 8 Dec 10, 2022
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

Memorizing Transformers - Pytorch Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memori

Phil Wang 364 Jan 06, 2023
This repository contains all the source code that is needed for the project : An Efficient Pipeline For Bloom’s Taxonomy Using Natural Language Processing and Deep Learning

Pipeline For NLP with Bloom's Taxonomy Using Improved Question Classification and Question Generation using Deep Learning This repository contains all

Rohan Mathur 9 Jul 17, 2021
Source code for AAAI20 "Generating Persona Consistent Dialogues by Exploiting Natural Language Inference".

Generating Persona Consistent Dialogues by Exploiting Natural Language Inference Source code for RCDG model in AAAI20 Generating Persona Consistent Di

16 Oct 08, 2022
Implementation of TTS with combination of Tacotron2 and HiFi-GAN

Tacotron2-HiFiGAN-master Implementation of TTS with combination of Tacotron2 and HiFi-GAN for Mandarin TTS. Inference In order to inference, we need t

SunLu Z 7 Nov 11, 2022
Klexikon: A German Dataset for Joint Summarization and Simplification

Klexikon: A German Dataset for Joint Summarization and Simplification Dennis Aumiller and Michael Gertz Heidelberg University Under submission at LREC

Dennis Aumiller 8 Jan 03, 2023