Data Scientist and Web Scraping Developer learning each day about technology . https://www.linkedin.com/in/cristobal-veas/

A Simple Application of Natural Language Processing on Comments from Facebook Posts.

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Every morning, Artificial Intelligence is being implemented exponentially in our daily lives. The algorithms of A. I are giving human capabilities to our technological devices and that this might be sound a little scary, but the advantages of all these new concepts are improving the knowledge of the word and the comprehension of many things that a few years ago would have been impossible to understand for humans.

There is an amazing subfield of many differents but connected areas, called Natural Language Processing (NLP), cited by Wikipedia; “…


Stop Adding Tracks to Your Playlists on Spotify One by One!!.

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I consider myself a music lover, I usually spend most of the time in a day listening to music while I’m doing routine activities. As a consequence of this, I keep playing many different playlists, and when I like a new track I instantly saved it into my User’s Library on Spotify. …


An interesting way of performing Text and Sentiment Analysis to song lyrics using Python.

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Music is a powerful language to express our feelings and in many cases is used as a therapy to deal with tough moments in our lives. The different sounds, rhythms, and effects used in music are capable to modify our emotions for a moment, but there’s a component that sometimes goes unnoticed when we are listening to music; The Lyrics of the songs.

Lyrics are powerful texts who share the ideas that came from the mind of the author when the song was been created. That’s why I decided to analyze the lyrics of one of my favorite bands; Metallica.


Una forma interesante de analizar las palabras y los sentimientos que puedan generar las noticias del país con Python, R y Power BI.

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Es bien sabido que vivir en la sociedad moderna es como estar en una montaña rusa de emociones, ya que gracias a la conectividad y la disponibilidad de información online, las cosas que vemos, leemos e interactuamos cotidiniamente, nos afectan en como nos sentimos y percibimos el mundo que nos rodea de una forma mucho más rapida que antes. Si ademas, consideramos que los acontecimientos ocurridos en este año 2020 fueron totalmente inesperados por toda la humanidad, de seguro que las emociones de muchos de nosotros han tenido muchos altibajos y han sido distintas a las de años anteriores.

Con…


Como automatizar y visualizar tus búsquedas para encontrar las mejores ofertas de trabajo con Python y Power BI.

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Hace unos días atrás estaba buscando nuevas opciones de empleo en las diversas paginas Web que publican ofertas de trabajo. Sin embargo me llamó la atención lo complicado que se me hacía poder comparar cada una de las ofertas de empleo y sus requisitos. Ademas me empecé a frustar al tener que crear un nuevo usuario en muchas de estas paginas al momento de ver la información completa del trabajo.

En base a lo anterior, se me ocurrió la idea de automatizar estas búsquedas y visualizarlas de una manera interactiva y facil de analizar. De esta manera se podrá observar…


An interesting way to export your music files to Spotify’s playlists.

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In modern society music streaming platforms are gaining a lot of popularity compared to the old mechanisms like vinyl records, CDs, mp3, files, etc. That’s why most people are preferring to save their favorite songs on music apps like Spotify. despite some people still have their music on audio files saved on their computer music folders.

That’s my dad’s case, he is an old school music lover and all his music is located in external disks, pen drives, and CDs. …


Cómo automatizar tus búsquedas para encontrar la mejor oferta de arriendos utilizando Python y Power Bi.

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El internet ha abierto las puertas y a dado acceso a que todo el mundo pueda vender, comprar y arrendar un inmueble con un simple click. Si bien eso es una gran oportunidad tanto para compradores como vendedores al hacer mejores negocios gracias a la enorme difusión que pueden llegar a tener sus productos en el internet.

Sin embargo muchas veces entre tanta oferta disponible en el mercado, se hace un poco tedioso encontrar la mejor opción de lo que estamos buscando. En mi caso, estaba buscando departamentos en Santiago de Chile para arrendar, pero me di cuenta que hay…


A cool way to predict the mood of music tracks with Neural Networks models using Keras and Tensorflow Libraries on Python.

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Music is a powerful language to express our feelings and in many cases is used as a therapy to deal with tough moments in our lives. Emotions and moods can be easily reflected in music, when we are doing sports, we tend to listen to energetic music, similarly when we are anxious or tired a nice relaxed song can help us to calm down. That’s why I try to figure out how classification models could help to determinate which is the mood of a specific track.

In this article, I will expose and explain how I could achieve this idea…


An easy way to group songs by similarity on Spotify Playlists with K-Means.

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Spotify is one of the most famous Music Platforms to discover new music. The company uses a lot of different algorithms to recommend the user new music based on their music preferences and most of these recommendations are located in Playlists. These Playlists are created for different users based on a wide diversity of music genres and even Spotify is capable to recommend new music based in moods.

Music has been in my daily routine during all my life, It’s a kind of drug that I need when I’m doing housework, working at the office, walking the dog, workouts and…

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