Abhishek-EE/Text-Similarity-Score-Generator Abhishek-EE/Text-Similarity-Score-Generator

  • Stars
    star
    4
  • Rank 3,304,323 (Top 66 %)
  • Language
    HTML
  • Created over 3 years ago
  • Updated over 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
Abhishek-EE/Text-Similarity-Score-Generator
github

Abhishek-EE

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

This is a Text Similarity Score Generator. It takes in two different texts and compares how similar they are. To calculate the similarity score I am using Vector Space Model. This model creates a vector Space where each dimension represents a single word. Words are taken from all the texts that are considered. One document is a single vector space. Each dimension of a single document vector represents how often this word appears in the text.To compare two documents a cosine similarity is used. This generates a value between 0 and 1, 0 meaning no similarity and 1 meaning perfect match.

More Repositories

1

Monte_Carlo_Simulator

Monte Carlo Simulator for Bit Error Rate Estimation in Digital Communication
MATLAB
9
star
2

Wilting_Classification_Using_GMM

This was my Project for ECE 542
Jupyter Notebook
2
star
3

Polynomial_Regression

A simple code to understand polynomial regression for curve fitting
Jupyter Notebook
2
star
4

Face_Recognition

Compared the performance of Gaussian model, Mixture of Gaussian model, t-distribution, Mixture of t-distribution, Factor Analysis and Mixture of Factor Analyzer on the task of facial recognition under the Generative modeling scheme.
Python
2
star
5

led_server

Python
1
star
6

Path-Planning-Simulator

C++
1
star
7

BabySitting-Method-for-tuning-a-CNN-and-NN

Jupyter Notebook
1
star
8

Coursera-Self_Driving_Cars_Specialization

This is my work for the Self driving cars specialization offered by University of Toronto on Coursera
Jupyter Notebook
1
star
9

Blob_Detector

This is the code from my ECE-558, Digital Imaging Systems, Final Project. Here I have implemented Blob Detection for images using Laplacian of Gaussian by creating a Laplacian Scale space via varying image size which helped increase the speed. After that I have performed Harris’ Non-Max Suppression and encircled the Blobs.
MATLAB
1
star
10

XMLBuilder

C++
1
star
11

Multilayered_Perceptron

Implementation of Multilayered Perceptron
Python
1
star
12

dual_lidar_3d_builder

Python
1
star
13

sensor_integration_suite

C++
1
star
14

Deep-Learning-Learning-LIbrary

As someone who very much stumbled into roles rather than carve his own path, I wanted to create a structured approach for my self and others like me so that if they want to pursue deep learning they have a path available. It is very much a selfish work because through this I hope to figure out the gaps in my own understanding of the concept and fill them as need be.
1
star