jlartey10 Goto Github PK

deepaudioclassification

Audio classification using Tensorflow

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

deploy-asr-in-kubernetes

Deploying Speech Recognition models in Kubernetes

end-to-end-time-series

This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

fine-tuning-multi-lingual-speech-model-with-transformers

Notebooks using the Hugging Face libraries 🤗

freqtrade

Free, open source crypto trading bot

huggingfacetransformer

mood-tunes

Sentiment analysis enables natural language processing techniques to classify the emotional content of data. Sentiment analysis has a wide range of use cases including, identifying sentiments of online conversations, customer reviews, and feedback. In this research, we will examine the use of sentiment analysis in identifying the emotional content in musical lyrics using unsupervised learning techniques. The result of the experiment will show the use of sentiment analysis in classifying music based on the sentiments of the lyrics.

named-entity-recognition

stock-market-forecasting

tf-idf

(5 points) Summarize the text as shown in class: 3.1 Calculate word frequency using two different methods: 3.1.1 Weighted frequency (please specify the math formula) (1 point) (Must use FreqDist to get original word frequencies) 3.1.2 TF-IDF with NLTK (NLTK does not have TF-IDF) (2 points) 3.2 Score the sentences (1 point) 3.3 Build a summary (based on ratio, sentence or word count, etc.) (1 point)

time-series-forecasting

word-sense-disambiguation

Word Sense Disambiguation with both a Yarowsky's Decision List and Simplified Lesk WordNet lookup

wordnet-query-expansion