Text mining resourcesResources for learning about Text Mining and Natural Language Processing
Stars: ✭ 358 (-22%)
NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
Stars: ✭ 19 (-95.86%)
brand-sentiment-analysisScripts utilizing Heartex platform to build brand sentiment analysis from the news
Stars: ✭ 21 (-95.42%)
text-analysisWeaving analytical stories from text data
Stars: ✭ 12 (-97.39%)
Dan Jurafsky Chris Manning NlpMy solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.
Stars: ✭ 124 (-72.98%)
SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
Stars: ✭ 32 (-93.03%)
Orange3 Text🍊 📄 Text Mining add-on for Orange3
Stars: ✭ 83 (-81.92%)
Datastories Semeval2017 Task4Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Stars: ✭ 184 (-59.91%)
Paribhashaparibhasha.herokuapp.com/
Stars: ✭ 21 (-95.42%)
Open Semantic SearchOpen Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)
Stars: ✭ 386 (-15.9%)
Onnxt5Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.
Stars: ✭ 143 (-68.85%)
Artificial Adversary🗣️ Tool to generate adversarial text examples and test machine learning models against them
Stars: ✭ 348 (-24.18%)
ShifteratorInterpretable data visualizations for understanding how texts differ at the word level
Stars: ✭ 209 (-54.47%)
sentometricsAn integrated framework in R for textual sentiment time series aggregation and prediction
Stars: ✭ 77 (-83.22%)
levheimcubeNo description or website provided.
Stars: ✭ 11 (-97.6%)
woollyThe Text Mining Elixir
Stars: ✭ 48 (-89.54%)
german-sentiment-libAn easy to use python package for deep learning-based german sentiment classification.
Stars: ✭ 33 (-92.81%)
german-sentimentA data set and model for german sentiment classification.
Stars: ✭ 37 (-91.94%)
TRUNAJOD2.0An easy-to-use library to extract indices from texts.
Stars: ✭ 18 (-96.08%)
Absa kerasKeras Implementation of Aspect based Sentiment Analysis
Stars: ✭ 126 (-72.55%)
sentistrength idSentiment Strength Detection in Bahasa Indonesia
Stars: ✭ 32 (-93.03%)
restaurant-finder-featureReviewsBuild a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews).
Stars: ✭ 21 (-95.42%)
NewsMTSCTarget-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.
Stars: ✭ 54 (-88.24%)
ContextConText v4: Neural networks for text categorization
Stars: ✭ 120 (-73.86%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+599.13%)
Learning Social Media Analytics With RThis repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt
Stars: ✭ 102 (-77.78%)
Senti4SDAn emotion-polarity classifier specifically trained on developers' communication channels
Stars: ✭ 41 (-91.07%)
empythyAutomated NLP sentiment predictions- batteries included, or use your own data
Stars: ✭ 17 (-96.3%)
TextMoodA Xamarin + IoT + Azure sample that detects the sentiment of incoming text messages, performs sentiment analysis on the text, and changes the color of a Philips Hue lightbulb
Stars: ✭ 52 (-88.67%)
analyzing-reddit-sentiment-with-awsLearn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.
Stars: ✭ 40 (-91.29%)
TiaYour Advanced Twitter stalking tool
Stars: ✭ 98 (-78.65%)
Customer satisfaction analysis基于在线民宿 UGC 数据的意见挖掘项目,包含数据挖掘和NLP 相关的处理,负责数据采集、主题抽取、情感分析等任务。目的是克服用户打分和评论不一致,实时对在线民宿的满意度评测,包含在线评论采集和情感可视化分析。搭建了百度地图POI查询入口,可以进行自动化的批量查询 POI 信息的功能;构建了基于在线民宿语料的 LDA 自动主题聚类模型,利用主题中心词能找出对应的主题属性字典;以用户打分作为标注,然后 litNlp 自带的字符级 TextCNN 进行情感分析,将情感分类概率分布作为情感趋势,最后通过 POI 热力图的方式对不同地域的民宿满意度进行展示。软件版本请见链接。
Stars: ✭ 262 (-42.92%)
Dataset-Sentimen-Analisis-Bahasa-IndonesiaRepositori ini merupakan kumpulan dataset terkait analisis sentimen Berbahasa Indonesia. Apabila Anda menggunakan dataset-dataset yang ada pada repositori ini untuk penelitian, maka cantumkanlah/kutiplah jurnal artikel terkait dataset tersebut. Dataset yang tersedia telah diimplementasikan dalam beberapa penelitian dan hasilnya telah dipublikasi…
Stars: ✭ 38 (-91.72%)
converseConversational text Analysis using various NLP techniques
Stars: ✭ 147 (-67.97%)
Text tone analyzerСистема, анализирующая тональность текстов и высказываний.
Stars: ✭ 15 (-96.73%)
billboard🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
Stars: ✭ 53 (-88.45%)
support-tickets-classificationThis case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
Stars: ✭ 142 (-69.06%)
GraphbrainLanguage, Knowledge, Cognition
Stars: ✭ 294 (-35.95%)
hashformersHashformers is a framework for hashtag segmentation with transformers.
Stars: ✭ 18 (-96.08%)
DaDengAndHisPython【微信公众号:大邓和他的python】, Python语法快速入门https://www.bilibili.com/video/av44384851 Python网络爬虫快速入门https://www.bilibili.com/video/av72010301, 我的联系邮箱
[email protected] Stars: ✭ 59 (-87.15%)
LSXA word embeddings-based semi-supervised model for document scaling
Stars: ✭ 42 (-90.85%)
sensimSentence Similarity Estimator (SenSim)
Stars: ✭ 15 (-96.73%)
TwEaterA Python Bot for Scraping Conversations from Twitter
Stars: ✭ 16 (-96.51%)
Doc2vec📓 Long(er) text representation and classification using Doc2Vec embeddings
Stars: ✭ 92 (-79.96%)
wink-sentimentAccurate and fast sentiment scoring of phrases with #hashtags, emoticons :) & emojis 🎉
Stars: ✭ 51 (-88.89%)
kwxBERT, LDA, and TFIDF based keyword extraction in Python
Stars: ✭ 33 (-92.81%)
ML2017FALLMachine Learning (EE 5184) in NTU
Stars: ✭ 66 (-85.62%)