Published in Towards Data Science·Mar 27, 2021NLP: Text Data Visualization“Data will talk to you if you are willing to listen.”-Jim Bergeson Text data visualization has many advantages, like getting the most frequently used word quickly to understand what the text is about, the number of positive and negative reviews represented by a graph for all data, plus the user-wise…4 min read
Published in Towards Data Science·Mar 2, 2021Text Summarization through use of Spacy libraryText summarization in NLP means telling a long story in short with a limited number of words and convey an important message in brief. There can be many strategies to make the large message short and giving the most important information forward, one of them is calculating word frequencies and…Artificial Intelligence5 min read
Published in The Startup·Feb 13, 2021Types of Sentiment Analysis and Its Uses“With public sentiment, nothing can fail, without it, nothing can succeed”-Abraham Lincoln Sentiment analysis is a field in which we try to use natural language processing for text analysis, to identify emotion for a service, product, or entity. …Data Science6 min read
Published in The Startup·Feb 5, 2021Sentiment Analysis:Deep dive into Rule-Based, TextBlob, and Vader Sentiment Analysis — Sentiment Analysis is a field that has a lot of scope and application into recommendation systems. Be it movie reviews, stock market, product, or groups, sentiments play a huge role in analyzing the trend and future of a product or service. To analyze sentiments, different fields or domains may have…Data Science6 min read
Published in Towards Data Science·Jan 30, 2021NLP: Text Generation through Bidirectional LSTM model“Understanding is a two-way street.”-Eleanor Roosevelt. — In one of my last blogs, I tried to explain text generation through a simple Maximum Likelihood model. In this blog, I will try to explain how can we do the same through the Bidirectional LSTM model. In one of my blogs of RNN, we talked about all types of…NLP5 min read
Published in Analytics Vidhya·Jan 21, 2021NLP: OCR, Language Translation, Text to Speech, Speech to TextWhen you are creating a chatbot or in any other NLP applications many challenges do come like getting a text from images, converting speech to text or text to speech, language translation, etc. Let's have a sneak-peek into each of such tasks and how these can be easily done. OCR-Optical…NLP5 min read
Published in The Startup·Jan 15, 2021How to Evaluate a ModelRecall, Specificity, Precision, F1 Scores, and Accuracy — There is an old saying “Accuracy builds credibility”-Jim Rohn. However, accuracy in machine learning may mean a totally different thing and we may have to use different methods to validate a model. When we develop a classification model, we need to measure how good it is to predict. …Artificial Intelligence5 min read
Published in Artificial Intelligence in Plain English·Jan 10, 2021N-grams and their use in Text GenerationIn Natural Language Processing (NLP), it is not only important to make sense of words but context too. N-grams are one of the ways to understand the language in terms of context to better understand the meaning of words written or spoken. For example, “I need to book a ticket…Artificial Intelligence5 min read
Published in DataDrivenInvestor·Jan 7, 2021Question Answering through BERT in 10 stepsIf you have a stack of websites or a stack of pdf files and you want to have answers to your questions, it looks like a hell of a task. What if we can do it in a few lines of code using BERT. BERT is a pre-trained transformer-based model…Artificial Intelligence3 min read
Published in Towards Data Science·Jan 6, 2021Making a simple and fast chatbot in 10 minutesIn real-world response time for a chatbot matters a lot. Be it the travel industry, banks, or doctors, if you want to really help your customers, response time should be less, and similar to what it is while talking to a customer care representative. Besides the time it is also…AI4 min read
