Creating a Custom Classifier for Text CleaningMachine Learning for Sentence ClassificationRodrigo NaderBlockedUnblockFollowFollowingFeb 4Recently I've been studying NLP more than other data…
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Bridging the Scratch Gap: From Blocks to Text Programming
How much, compared to the amount of time you spend using a pen?Thought so. This isn’t preparation for the future;…
Continue ReadingA Must-Read NLP Tutorial on Neural Machine Translation – The Technique Powering Google Translate
A long dry period followed this miserable report. Finally, in 1981, a new system called the METEO System was deployed…
Continue ReadingEffectively Pre-processing the Text Data Part 1: Text Cleaning
Effectively Pre-processing the Text Data Part 1: Text CleaningAli HamzaBlockedUnblockFollowFollowingJan 30Image source: https://wall. alphacoders. com/big. php?i=346199The content of this article is…
Continue ReadingQuick Look at Action Text for Rails 6.0
Quick Look at Action Text for Rails 6. 0Arun Mathew KurianBlockedUnblockFollowFollowingJan 29Rails 6. 0 is almost here. The stable version will…
Continue ReadingData Augmentation for Natural Language Processing
A naive approach would be to use a lexicon such as WordNet, which has a fixed definition assigned to each…
Continue ReadingMaking Grammarly Feel Native On Every Website
But what’s happening in the DOM?<div contenteditable=”true” data-gramm_id=”d1a428f0–40fd-1fca-a617-acf5aeeaa147" data-gramm=”true” spellcheck=”false” data-gramm_editor=”true”>That <g class=”gr_ gr_4 gr-alert gr_spell gr_inline_cards gr_run_anim ContextualSpelling ins-del”…
Continue ReadingNLP Learning Series Part 1: Text Preprocessing Methods for Deep Learning
NLP Learning Series Part 1: Text Preprocessing Methods for Deep LearningThe definitive guide to Text Preprocessing for Deep LearningRahul AgarwalBlockedUnblockFollowFollowingJan 16Recently, I…
Continue ReadingClassifying Tweets for Sentiment Analysis: Natural Language Processing in Python for Beginners
Classifying Tweets for Sentiment Analysis: Natural Language Processing in Python for BeginnersGet up and running with some code to perform…
Continue ReadingUseful Sentiment Analysis: Mining SEC Filings (Part 1)
Well, textual data has a lot of power. One of the interesting things with modeling and forecasting is that data…
Continue ReadingChoosing A Text Editor
Then fantastic, clearly the text editor you’ve chosen got the job done. While you can search on Google for the…
Continue ReadingClassifying Reddit Posts With Natural Language Processing and Machine Learning
In other words, creating a classification model that can distinguish which of two subreddits a post belongs to. The assumption…
Continue ReadingWhat a text recognition system actually sees
In the following text we’ll look at two experiments to get a better understanding of what’s happening inside such a…
Continue ReadingHow to Extract and Clean Data From PDF Files in R
How to Extract and Clean Data From PDF Files in RCharles BordetBlockedUnblockFollowFollowingSep 2, 2017Extracting data from PDF files can be cumbersomeDo…
Continue ReadingReview Rating Prediction: A Combined Approach
I will try to prove that combining formerly known data about each user’s similarity to other users, with the sentiment…
Continue ReadingText Analytics – Mining the Abundance of Wealth underneath the vastness of Text
What exactly is Text Analytics?Text Analytics is the process of examining large collections of written resources to generate new information,…
Continue ReadingHow fuzzy matching improve your NLP model
Using different algorithms to score strings between 0 and 100.To see whether we can query back expected location name, let…
Continue ReadingText Classification with State of the Art NLP Library — Flair
If not, run pip install pandas first.import pandas as pddata = pd.read_csv("./spam.csv", encoding='latin-1').sample(frac=1).drop_duplicates()data = data[['v1', 'v2']].rename(columns={"v1":"label", "v2":"text"}) data['label'] = '__label__'…
Continue ReadingUnderstand Text Summarization and create your own summarizer in python
Reading a summary help us to identify the interest area, gives a brief context of the story.Summarization can be defined…
Continue ReadingWhat Kagglers are using for Text Classification
Moreover, the Bidirectional LSTM keeps the contextual information in both directions which is pretty useful in text classification task (But…
Continue ReadingHow to Write Perfect Python Command-line Interfaces — Learn by Example
So let’s try to use this method…The “beginners” methodsys.argv is a list containing all the arguments typed by the user…
Continue ReadingAnalysis of Twitter Data Using R — Part 2 : Word Cloud
Analysis of Twitter Data Using R — Part 2 : Word CloudRohit NairBlockedUnblockFollowFollowingMay 15, 2016In the last article we learnt how to get authentication…
Continue ReadingAutomated Keyword Extraction from Articles using NLP
The title and abstract have been concatenated after which the file is saved as a tab separated *.txt file.import pandas#…
Continue ReadingSome Neat CSS Tricks — Clip-path And Transform
For circles you specify the percentage of your diameter along with where the center of your circle is, and for…
Continue ReadingA Beginner’s Guide to Plotting ‘FiveThirtyEight Like’ Visualizations
To do this we define a function that loops through the “Group” column and creates a new “Occupations” column.See added…
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