Automatic Document Summarizer part 2
$30-250 SGD
Paid on delivery
To use Python IDE Pycharm or PyDev to do document summarization of 10 sets of self-extracted documents from the web.
The program structures are as follow:
a) Acquiring the the 10 sets of documents > Data cleaning > Representation Learning (Bag-of-Words & Tf-idf) > Reduce Matrix (Latent Semantic Analysis) > Clustering (K-means) (completed)
b) Acquiring the the 10 sets of documents > Data cleaning > Representation Learning (Word Vector & Tf-idf) > Reduce Matrix (Latent Semantic Analysis) > Clustering (Sequential K-means)
c) Acquiring the the 10 sets of documents > Data cleaning > Representation Learning (Bag-of-Words & Tf-idf) > Reduce Matrix (Latent Semantic Analysis) > Clustering (Sequential K-means)
d) Acquiring the the 10 sets of documents > Data cleaning > Representation Learning (Word Vector & Tf-idf) > Reduce Matrix (Latent Semantic Analysis) > Clustering (K-means)
And finally a comparison of accuracy of the 4 different combination of techniques used
See attached picture for illustration.
Project ID: #16186781
About the project
7 freelancers are bidding on average $129 for this job
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