Pinned Repositories
Airline-Sentiment-Analysis
Analyse the sentiments of the airlines tweets using Term frequency - Inverse Document Frequency. First, the tweets are preprocessed then a Document Term Matrix is created using TfidfVectorizer. Classifier such as Decision Tree, Random Forest, k-Support Vector Machine and k- Nearest Neighbours are trained to predict accurate sentiments.
twitter-sentiment-analysis-covid19
twitter-sentiment-visualisation
:earth_africa: The R&D of a sentiment analysis module, and the implementation of it on real-time social media data, to generate a series of live visual representations of sentiment towards a specific topic or by location in order to find trends.
ghostlikeneutrino's Repositories
ghostlikeneutrino/twitter-sentiment-analysis-covid19
ghostlikeneutrino/Airline-Sentiment-Analysis
Analyse the sentiments of the airlines tweets using Term frequency - Inverse Document Frequency. First, the tweets are preprocessed then a Document Term Matrix is created using TfidfVectorizer. Classifier such as Decision Tree, Random Forest, k-Support Vector Machine and k- Nearest Neighbours are trained to predict accurate sentiments.
ghostlikeneutrino/twitter-sentiment-visualisation
:earth_africa: The R&D of a sentiment analysis module, and the implementation of it on real-time social media data, to generate a series of live visual representations of sentiment towards a specific topic or by location in order to find trends.