nlp_graph VS text-analysis-speeches-amlo

Compare nlp_graph vs text-analysis-speeches-amlo and see what are their differences.

nlp_graph

graph representation of word embeddings (by mitya8128)
graph-representation NLP word-embeddings cliques Graph
Source Code
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text-analysis-speeches-amlo

Text analysis of the speeches, conferences and interviews of the current president of Mexico (by Wittline)
text-analysis NLP word-embeddings Python Speech speech-synthesis presidential-candidates president mexico mexico-datos mexico-estados mexican politics political-science
Source Code
wittline.github.io
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nlp_graph text-analysis-speeches-amlo
1 1
1 8
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2.6 3.2
over 2 years ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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nlp_graph

Posts with mentions or reviews of nlp_graph. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-14.
  • graph_summarizer
    2 projects | dev.to | 14 Oct 2021
    Little prehistory: some time ago I worked on graph visualizations based on vector embedding of texts . This vizualisations show relational "distance" between words of sentences. So user can visualize graph of distances between word of text, also you can apply some advanced graph-theoretic approaches to further analyze input text and it's hidden features. I want to use this approach to try on text summarization problem - in my case to extract some more informative sentences from text to compress original text.

text-analysis-speeches-amlo

Posts with mentions or reviews of text-analysis-speeches-amlo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-15.

What are some alternatives?

When comparing nlp_graph and text-analysis-speeches-amlo you can also consider the following projects:

adjustText - A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

uber-expenses-tracking - The goal of this project is to track the expenses of Uber Rides and Uber Eats through data Engineering processes using technologies such as Apache Airflow, AWS Redshift and Power BI.

course-nlp - A Code-First Introduction to NLP course

docker-livy - Dockerizing and Consuming an Apache Livy environment

community-vaccines - Could Graph Optimizations Help Deliver Donated Covid Vaccines Overseas PreExpiry?

Dropout-Students-Prediction - The goal of this project is to identify students at risk of dropping out the school

data-engineer-challenge - Challenge Data Engineer

apache-spark-docker - Dockerizing an Apache Spark Standalone Cluster

recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)

nlp_graph vs adjustText text-analysis-speeches-amlo vs uber-expenses-tracking nlp_graph vs course-nlp text-analysis-speeches-amlo vs docker-livy nlp_graph vs community-vaccines text-analysis-speeches-amlo vs Dropout-Students-Prediction text-analysis-speeches-amlo vs data-engineer-challenge text-analysis-speeches-amlo vs apache-spark-docker text-analysis-speeches-amlo vs recommendation-system