NLP-Analisis Sentiment

I have done a number of projects on machine learning. Here are some of my projects: Human Activity Recognition (Apr-Jun 2020) Location: Online Brief Description: Performed it on data recorded from an accelerometer and gyroscope for eight different activities. It works on a 2-D convolutional neural network. Voice Chat Bot (Jan-Mar 2020) Location: Delhi Technical Campus, Guru Gobind Singh Indraprastha University, Delhi Team Size: 4 Brief Description: Uses NLP and speech recognition; recognizes human voice, and understands the query, converting it to text. Suitable output is generated based on the similarity score by tokenizing the dataset. Individual Role: Mapped similarity scores to the dataset and increased accuracy of speech recognition Recommendation System For Movies (May-Jun 2019) Location: Online Brief Description: Works on content-based filtering to suggest the best films for the user. It uses correlation to suggest similar movies to the user. Sentiment Analysis on Amazon Reviews (Mar-Apr 2019) Location: Online Brief Description: Took dataset from Kaggle. Analyzed the extracted text to categorize into positive, negative, or neutral sentiment. Lemmatization is done on the given text, followed by removal of stop-words and punctuations. The text is classified into positive or negative using an SVM classifier.

*** IMMEDIATE DEMOS FOR SENTIMENTAL ANALYSIS *** Hello I am an expert in machine learning and have much experiences in NLP like sentimental analysis. I have done the similar sentimental analysis for tweet in the past time. I am so confident in this project. Please leave contact for me. Thank you and best regards. David Fawzy

Assalammualikum warahmatullahi wabarakatuh saya Izzan. Saya tertarik dengan projek anda. Saya memiliki pengalaman serupa mengenai ML. Boleh kita diskusikan untuk projek anda ?