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মানুষজন সবকটি দেখুন
@RichardEudes Chief Data Scientist
@BouyguesTelecom - Head of#BigData &#AdvancedAnalytics -#DataScience#MachineLearning#ArtificialIntelligence#TMTParis, France • datascientists.fr
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Missed
#WorldEmojiDay?@fedealbpozzi shares the role of#emojis in sentiment analysis https://blogs.sas.com/content/hiddeninsights/2018/07/16/role-emojis-sentiment-analysis/ …#analytics#textanalytics#machinelearning#sentimentanalysispic.twitter.com/QukQMoroCk
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I wrote an API for working with people's names. https://ift.tt/2zW5qHC
#textanalytics -
via
@RichardEudes - Implementing Deep Learning Methods and Feature Engineering for Text Data: FastText http://buff.ly/2rdbsw1#datascience,#deeplearning,#textanalytics https://twitter.com/RichardEudes/status/1019990391993618433 … -
Take a look at our new application note on how text analytics reduces regulatory affairs costs and speeds compliance http://ow.ly/ACCM30l1N8g
#NLP#AI#RegulatoryAffairs#TextAnalytics pic.twitter.com/vYvcuoVK9r
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How to select features for Text classification problem https://ift.tt/2LvJOmE
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We've got another addition to our
#CognitiveServices blog series! Authored by@garylock, we are exploring how to apply#API#LanguageTools to#textanalytics. Read more here: https://hubs.ly/H0d1MLt0 pic.twitter.com/vzGmfzMwje
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Just announced! Dr. Ronnie Shah from
@DeutscheBank will be speaking about#MachineLearning for future fundamentals estimation at our next NYC event http://bit.ly/2Nuqo22 “Generation AI: The New Data-Driven Investor”#BigData#AI#SentimentAnalysis#TextAnalytics pic.twitter.com/MLFVCxGiov
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Comparison of Top 6
#Python#NLProc Libraries — Pros and Cons: http://bit.ly/2uNc2Cn#abdsc#BigData#DataScience#AI#MachineLearning#TextAnalytics#coding#DataScientists by@ActiveWizardspic.twitter.com/SriCTXBa1O
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The main goal of
#TextAnalytics is to bring textual content to a point where it is represented as#data and thus accessible for machines to process and make sense of. Read the blogpost on this topic here: https://buff.ly/2yHMonI#KnowledgeGraph#TextAnalytics pic.twitter.com/6dezfkQNQw
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Finding concise topics and summarizing sentiment in Amazon’s customer reviews with
#TextAnalytics: https://blog.insightdatascience.com/gefilter-fish-finding-concise-topics-from-amazons-customer-reviews-dd14d673ed6d …#BigData#DataScience#NLProc#AI#MachineLearning#CX#UXpic.twitter.com/5GQaJGqwoc
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My session on
#TextAnalytics with#PowerBI and#cognitiveservice will start in 45 minutes.pic.twitter.com/yh4Q01Kdta
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Strings and Character Data in Python: https://realpython.com/python-strings/
#BigData#DataScience#DataScientists#Coding#TextAnalytics by@realpythonpic.twitter.com/l2HZQZcrom
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We are releasing a MeaningCloud add-on for
#Google Sheets very soon: you will be able to perform#TextAnalytics directly on your spreadsheet. Here's a sneak peek: are people happy with#Ronaldo
joining #Juventus?
Our #SentimentAnalysis technology says (mostly) YES!
pic.twitter.com/46wPD7VKVt
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@TopBoxAnalytics https://topbox.io/ raises $5M for its customer experience analytics service: https://techcrunch.com/2018/07/09/topbox-raises-5m-for-its-customer-experience-analytics-service/amp/ … by@fredericl#BigData#DataScience#NLProc#TextAnalytics#MachineLearning#CX#martechpic.twitter.com/y8pZu3mN02
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From Shallow to Deep Pre-Training — Natural Language Processing’s ImageNet moment has arrived: https://thegradient.pub/nlp-imagenet/
#BigData#DataScience#AI#MachineLearning#DeepLearning#NLProc#TextAnalytics pic.twitter.com/drR1qb8iKQ
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