text-sentiment-analysis

There are 12 repositories under text-sentiment-analysis topic.

  • 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 Notebook2921515

  • AvichalS/text-sentiment-analysis

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

    Language:Python4101

  • 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 Notebook4101

  • RammySekham/img-speech-txt-analytics

    Video Analytics in Python using face-emotion-detection, speech-to-text and text-sentiment analysis pre-trained DEEP LEARNING models

    Language:Python3103

  • 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.

    Language:Jupyter Notebook1100

  • 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:Python120

  • 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 Notebook120

  • 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.

    Language:Jupyter Notebook1100

  • Jaskiran19/Text-Sentiment-Analyser-Language-Detector

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  • pavelchowdhury99/APIs

    A collection of various utility REST api

    Language:Jupyter Notebook0100

  • 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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  • nisrinaishmh/text-sentiment-analysis-using-caikit-and-hugging-face

    This project configured the Caikit runtime to load and run a Hugging Face text sentiment analysis model. Then deployed a client application on the runtime that used the Caikit API to query the Hugging Face model for sentiment analysis on text strings. The model response included the sentiment analysis and a confidence score for each sample.

    Language:Python10