Analyse word frequencies from webVTT subtitles

This is an android app designed to rank the first 20.000 most used english words based on frequency.

Extractive summarization based on significant sentence present in the article. Significant sentences can be found based on word frequency count. Spacy library used for text pre-processing.

Word/Character counter of a given source file programmed in C

The Word Frequency program with CUDA project aims to develop an advanced solution for efficiently analyzing the frequency of words in large datasets. The project will leverage NVIDIA's CUDA framework to harness the power of GPUs, surpassing the performance of traditional CPU-based implementations.

簡易版本的詞頻及文字雲產生器

Word Frequency Counter - This program will find the frequency of tags in a file and display its output and save it in the file.

1.12.2 Spigot plugin using word frequency and other techniques to remove bots and chat spam

Use web scraping and NLP to find the most frequent words in one of two pieces of classic literature: Herman Melville's novel, Moby Dick, or Peter Pan by J. M. Barrie.

Word frequency

Word frequency analysis tool.

Word language analysis meets cultural insights

Getting words frequency using the concepts of pattern matching in CUDA

This program checks the most common words in a user's text file. The user can specify the number of the most common words they want to get

Semantic word relations analysis and visualization for corpus linguistics and NLP

Text Analysis which covers - text data preparation, frequency analysis, word correlation, Sentiment Analysis, and Topic modelling using Latent Dirichlet Allocation (LDA). Includes intuition for each part, and some explanations for how to interpret the outputs.

Basic to advanced usage of twitter for opinion mining

Assignment 1 for UCI CS 121 Information Retrieval Part A: Word Frequencies; Part B: Intersection of two files

Sentiment Analysis have been done on twitter data regarding stock market using Naive Bayes Classifier. We have tested a few feature selection techniques to improve the accuracy of Naive Bayes Classifier. The feature selection techniques tested are: TF-IDF, Word Frequency, Document Frequency, Sparsity Reduction and Chi Square Statistics. The code…

Text analysis on young adults' experience of loneliness