wordview VS NLP-Model-for-Corpus-Similarity

Compare wordview vs NLP-Model-for-Corpus-Similarity and see what are their differences.

wordview

Python package for exploratory data analysis (EDA) of text data, with LLM integration for to enable interacting with highly complex corpus statistics in natural language. (by meghdadFar)
multiword-expressions exploratory-data-analysis feature-extraction text-analytics
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NLP-Model-for-Corpus-Similarity

A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet. (by kohjiaxuan)
nltk-similarity corpus-similarity nlp-model NLP nlp-machine-learning cosine-similarity similarity-score Wikipedia wikipedia-scraper text-analytics
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wordview NLP-Model-for-Corpus-Similarity
1 1
11 9
- -
0.0 0.0
17 days ago about 6 years ago
Python Python
MIT License MIT License
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wordview

Posts with mentions or reviews of wordview. We have used some of these posts to build our list of alternatives and similar projects.

NLP-Model-for-Corpus-Similarity

Posts with mentions or reviews of NLP-Model-for-Corpus-Similarity. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-24.

What are some alternatives?

When comparing wordview and NLP-Model-for-Corpus-Similarity you can also consider the following projects:

Unredactor - In this project we are tryinbg to create unredactor. Unredactor will take a redacted document and the redacted flag as input, inreturn it will give the most likely candidates to fill in redacted location. In this project we are only considered about unredacting names only. The data that we are considering is imdb data set with many review files. These files are used to buils corpora for finding tfidf score. Few files are used to train and in these files names are redacted and written into redacted folder. These redacted files are used for testing and different classification models are built to predict the probabilies of each class. Top 5 classes i.e names similar to the test features are written at the end of text in unreddacted foleder.

witokit - A Python toolkit to generate a tokenized dump of Wikipedia for NLP

tf-idf - Term Frequency-Inverse Document Frequency from Scratch

Wikipedia-API - Python wrapper for Wikipedia

obsei - Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

bart-base-jax - JAX implementation of the bart-base model

wordview vs Unredactor NLP-Model-for-Corpus-Similarity vs witokit wordview vs tf-idf NLP-Model-for-Corpus-Similarity vs Wikipedia-API wordview vs obsei NLP-Model-for-Corpus-Similarity vs bart-base-jax
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