355 Open source projects that are alternatives of or similar to LinLP

Stock price trend prediction with news sentiment analysis using deep learning

Simple sentiment analysis framework for R

Kaggle Twitter Sentiment Analysis Competition

The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting

Machine Learning (EE 5184) in NTU

A Python Bot for Scraping Conversations from Twitter

Measure the sentiment towards a word, name or sentence on social networks

NRC Word-Emotion Association Lexicon

Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19

Sentiment Analyser: Sentiment Analysis of user feedback in Play Store to improve app quality!

sentiment-analysis

🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Content based movie recommendation system with sentiment analysis

A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

LSTM RNN for sentiment-based stock prediction

This program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock

No description or website provided.

[KBS] Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks

A word embeddings-based semi-supervised model for document scaling

A Python library for sentiment analysis of various tickers from the latest news by trusted sources, and tools to plot results. 📈📊📰

No description or website provided.

bert sentiment analysis tensorflow serving with RESTful API

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Natural Language Processing for Spanish in Node.js. Stemmer, sentiment analysis, readability, tf-idf with batteries, concordance and more!

Accurate and fast sentiment scoring of phrases with #hashtags, emoticons :) & emojis 🎉

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Text processing library for sentiment analysis and related tasks

Source code for ACL-IJCNLP 2021 paper "DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations"

Bidirectional Character LSTM for Sentiment Analysis - Tensorflow Implementation

Open Source Package for Gibbs Sampling of LDA

A Toolkit for Industrial Topic Modeling

Implement face recognition using PCA, LDA and LPP

中文文本生成（NLG）之文本摘要（text summarization）工具包, 语料数据(corpus data), 抽取式摘要 Extractive text summary of Lead3、keyword、textrank、text teaser、word significance、LDA、LSI、NMF。（graph，feature，topic model，summarize tool or tookit）

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Short Text Topic Modeling, JAVA

A PureScript, browser-based implementation of LDA topic modeling.

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Displays all the 2019 CVPR Accepted Papers in a way that they are easy to parse.

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

fast sampling algorithm based on CGS

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

Various examples of topic modeling and other text analysis

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

Python code for common Machine Learning Algorithms

LDA topic modeling for node.js

extract relationships from standardized terms from corpus of interest with deep learning 🐟

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Repo for my talk at the PyData Berlin 2017 conference

BERT, LDA, and TFIDF based keyword extraction in Python

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

经典机器学习算法的极简实现