June 21, 2021 Beginner, Data Cleaning, NLP, Python, Text, Unstructured Data, Word Embeddings

Part- 6: Step by Step Guide to Master Natural Language Processing (NLP) in Python

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous article of this series, we completed the statistical or frequency-based word embedding techniques, which are pre-word embedding era techniques. So, in this article, we will discuss the recent word-era embedding techniques. NOTE: In recent word-era embedding, there are many such techniques but in this article, we will discuss only the Word2Vec […]

June 20, 2021 Advanced, NLP, Project, Python, Text

Part- 1: Step by Step Guide to Master Natural Language Processing (NLP) in Python

This article was published as a part of the Data Science Blogathon Introduction Computers and Machines are great while working with tabular data or Spreadsheets. However, human beings generally communicate in words and sentences, not in the form of tables or spreadsheets, and most of the information that humans speak or write is present in an unstructured manner. So it is not very understandable for computers to interpret these languages. Therefore, In natural language processing (NLP), our aim is to make […]

June 20, 2021 Beginner, Data Cleaning, NLP, Python, Text

Part- 4: Step by Step Guide to Master Natural Language Processing in Python

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous part of this blog series, we complete the initial steps involved in text cleaning and preprocessing that are related to NLP. Now, in continuation of that part, in this article, we will cover the next techniques involved in the NLP pipeline of Text preprocessing. In this article, we will first discuss […]

June 19, 2021 Advanced, Classification, NLP, Project, Python, Structured Data, Supervised, Text

NLP – Sentiment Analysis

Now, we can see that our target has changed to 0 and 1,i.e. 0 for Negative and 1 for Positive, and the data is more or less in a balanced state. Data Pre-processing Now, we will perform some pre-processing on the data before converting it into vectors and passing it to the machine learning model. We will create a function for pre-processing of data. 1. First, we will iterate through each record, and using a regular expression, we will get […]

June 19, 2021 Beginner, Classification, NLP, Python

Covid-19 Tweets Analysis using NLP with Python

This article was published as a part of the Data Science Blogathon Introduction In this tutorial, I am going to discuss a practical guide of Natural Language Processing(NLP) using Python. Before we move further, we will just take a look at the concept of Corona Virus namely CoVid-19. CoVid-19: Coronavirus disease (CoVid-19) is an infectious disease that is caused by a newly discovered coronavirus. Most of the people who have been infected with the CoVid-19 virus will experience mild to adequate […]

June 18, 2021 Beginner, Listicle, NLP, Python, Text

Pre-Processing of Text Data in NLP

This article was published as a part of the Data Science Blogathon Introduction In today’s life, a large amount of raw data is available in every sector in the form of text, audio, videos, etc. This data can be used to analyze a wide range of factors which can be used further to make some decisions or predictions. But for this, the raw data has to organize or summarized for getting better outcomes. Here comes the role of NLP, which is […]

June 18, 2021 Advanced, Classification, NLP, Project, Python, Structured Data

Rule-Based Sentiment Analysis in Python

This article was published as a part of the Data Science Blogathon Image by Author made online on befunky.com Intro: According to experts, 80% of the world’s existing data is in the form of unstructured data(images, videos, text, etc). This data could be generated by Social media tweets/posts, call transcripts, survey or interview reviews, text across blogs, forums, news, etc. It is humanly impossible to read all the text across the web and find patterns. Yet, there is definitely […]

June 17, 2021 Beginner, Listicle, NLP, Python

Must Know Data Pre-processing Techniques for Natural Language Processing!

This article was published as a part of the Data Science Blogathon Introduction Data from the internet forms a huge source of information these days. We have an overwhelming amount of data available, which includes text, audio, and videos. Text information forms a major source of information amongst these. Natural language processing includes the task of analyzing, modifying, and deriving conclusions from text data. These text or speech data are completely unstructured and messy. A great amount of effort is required […]

June 17, 2021 Advanced, Libraries, NLP, Project, Python, Structured Data, Text, Use Cases

Can Python understand human feelings through words? – A brief intro to NLP and VADER Sentiment Analysis

This article was published as a part of the Data Science Blogathon Introduction Imagine having the power to observe your customer’s thoughts, like what they really think of a particular product/service. For instance, there is a new product launched by NIKE and REEBOK. Both the companies launched a pair of new sports shoes and posted them on their social media accounts like Instagram or Facebook for marketing purposes. Is it possible for an individual to check all the thousands or lakhs […]

June 15, 2021 Advanced, NLP, Project, Python, Text

Part- 3: Step by Step Guide to Master Natural Language Processing (NLP) in Python

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In part-1and part-2 of this blog series, we complete the theoretical concepts related to NLP. Now, in continuation of that part, in this article, we will cover some of the new concepts. In this article, we will understand the terminologies required and then we start our journey towards text cleaning and preprocessing, which is […]

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