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amazon-review-scrapper

A Python code to extract ratings and reviews from Amazon (Web Scraping-BeautifulSoup)

dnn-speech-recognizer---udacity

Developing a speech recognizer using Deep Neural Network

hmm-pos-tagger---udacity

Using Hidden Markov Model to develop a Parts of Speech Tagger

image-ocr---extraction-to-excel---workflow

An attempt to automate the process of extracting the transaction details from bank forms and store details in a excel file

machine-translation---udacity

An example Machine translation project - English to French

sentiment-analysis-using-r

A project to analyze the amazon reviews of a product to understand the sentiment, polarity and the summary of what is being talked about!!

sentiment-classification---urdu-reviews

Train a sentiment classifier (Positive, Negative, Neutral) on a corpus of the provided documents. Your goal is to maximize accuracy. There is special interest in being able to accurately detect negative sentiment. The training data includes documents from a wide variety of sources, not merely social media, and some of it may be inconsistently labeled. Please describe the business outcomes in your work sample including how data limitations impact your results and how these limitations could be addressed in a larger project

topic-clustering-for-short-product-reviews---nlp-text-mining

topic-clustering-for-short-reviews---nlp-text-mining

Code to achieve the clustering of reviews based on the content similarity using

udacity_sentiment_analysis

Sentiment Analysis project for the udacity course