alihan/twitter-sentiment-visualisation
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Fixed readme.md

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- 404: Read more about the application [here]
- Typo: line 139
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2018-04-06 21:03:37 -04:00
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@@ -31,7 +31,7 @@ factors such as geographical location, time of day, other topics...
It has a wide range of uses, from analysing the effectiveness of a marketing campaign,
to comparing two competing topics.
Read more about the application [here](docs/introduction.md).
Read more about the application [here](docs/project-introduction.md).
The application is fully documented, which can be viewed [here](docs/readme.md)
@@ -52,7 +52,7 @@ Below is a sample of the 12 key screens.
## Modules
Several open sauce node modules have been developed and published on npm as part of this project
Several open source node modules have been developed and published on npm as part of this project
- [sentiment-analysis] - useses the AFINN-111 word list to calculate overall sentiment of a sentence
- [fetch-tweets] - fetches tweets from Twitter based on topic, location, timeframe or combination
- [stream-tweets] - streams live Tweets in real-time