Computer generated Sherlock Holmes Stories! LSTM-RNN based style-imitative text generation
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Updated
Feb 21, 2017 - Python
Computer generated Sherlock Holmes Stories! LSTM-RNN based style-imitative text generation
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Designed a NLP artificial intelligence system that parses sentences and extracts noun phrases
Detecting Meaning with Sherlock Holmes --- a semantic introduction to the great detective.
🕵️ Language Model based on RNN for generating Sherlock Holmes stories.
This work has as purpose to analyze the Sherlock Holmes's network created from the Wikipedia page
This is a project we did for our college course, Introduction to Digital Humanities, taught by Professor Johannes Burgers. We discuss whether a character can be seen as on the side of "good" without being perceived as "good". For this, we chose Sherlock Holmes from the popular series written by Sir Arthur Conan Doyle. We analyzed the sentiment s…
221B Baker Street: The Master Detective Game as a TSP
Statistical Analysis of Sherlock Holmes Short Stories, A project report submitted for the partial fulfillment of the Master of Science in Statistics, VisvaBharati, Santiniketan.
An application for crime investigation using NoSQL database (Neo4j)
Sherlock Gopher | Sherlock Gopher is a distributed System which will crawl over a given website and analyse the given HTML.
A Sherlock Holmes book viewer app with table of contents and search terms in paragraphs
Um leichter die Sherlock Holmes Hörspiele auf Spotify browsen zu können, gibt es nun diese kleine Web-App
This is Sherlock's sister, Modern shiny CLI tool written with Golang to help you: 🔎 Hunt down social media accounts by username across social networks
Cipher font of "The Adventure of the Dancing Men", The Return of Sherlock Holmes by Arthur Conan Doyle.
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