Saptha-Harsh/Text-Sentiment-Analysis

Performing text sentiment analysis on numerous websites and determining their text sentiment scores using NLP and python programming.

Language: Python - Size: 0 Bytes - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

rubenkristian/text-sentiment-analysis

text sentiment analysis with lstm

Language: Jupyter Notebook - Size: 113 KB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

hibatillah/deep-learning

Text Sentiment Analysis and Audio Classification

Language: TypeScript - Size: 164 MB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Blacksujit/Data-Extraction-and-NLP

This project extracts text from a list of URLs and performs a detailed textual analysis to compute various linguistic and sentiment metrics. The extracted data is saved to text files, and the analysis results are compiled into an Excel file.

Language: Python - Size: 647 KB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

easonlai/google_news_searching_and_text_analytics

This is a demo repo to demonstrate how to use Python GoogleNews library to search and scrape result data. And save scraping results into Pandas dataframe.

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1

SreeEswaran/Multi-Modal-Sentiment-Analysis-with-Transformers

This project leverages the power of transformer models to perform sentiment analysis on both text and images. It uses BERT for text sentiment analysis and a pre-trained vision transformer (ViT) for image sentiment analysis.

Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

anshive/Moodify

Moodify is a web application that suggests songs based on your mood. The app allows users to detect their mood via text input,or by selecting from a dropdown menu, and then recommends region-specific songs using the Spotify API.

Language: Python - Size: 3.71 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Jaskiran19/Text-Sentiment-Analyser-Language-Detector

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

VMD7/absa

This is the advanced form of the sentiment analysis from text. In this method we have to find out the sentiment regarding the aspect word. The data set contains the reviews and the aspect word/phrase. We have to find out the sentiment regarding that aspect/phrase. We have used simple method using TfIdfVectorizer and ml algorithms. Got the nearly 70% accuracy.

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AvichalS/text-sentiment-analysis

Performing text sentiment analysis on numerous websites and determining their text sentiment scores using NLP and python programming.

Language: Python - Size: 110 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

khanfarhan10/TextSentimentAnalysis

Text Sentiment Analysis in Python using Natural Language Processing (NLP) for Negative/Positive Content Detection. Deployed on the Cloud using Streamlit on the Heroku Platform.

Language: Jupyter Notebook - Size: 21.7 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 11

AHMEDSANA/Twitter-Sentiment-Analysis-using-RNN-LSTM

In this Project we will train our RNN model by giving it different tweets and then predict the sentiments of the tweets.

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EGjika/Text-Analysis-NASA-dataset

This work is a text analysis in R based on the NASA data found in: https://data.nasa.gov/data.json . The text analysis is based in different steps starting with lexicons. Further investigating positive and negative sentiments on a world cloud . Also, correlations between words are analysed.

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pavelchowdhury99/APIs

A collection of various utility REST api

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